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The Teaching Online Advanced Diploma course is designed to equip educators with the necessary skills to excel in the world of online teaching. This CPD-accredited program covers essential topics such as the role and responsibilities of an online teacher, remote learning fundamentals, digital communication, lesson planning, and effective teaching methodologies. Whether you’re a seasoned educator looking to enhance your skills or someone passionate about teaching and technology, this course provides valuable insights and a formal qualification. With 10 CPD points available, you’ll be well-prepared to kickstart a rewarding career in remote teaching.

11-in-1 Premium Bundle | CPD QS Certified | 110 CPD Points | Free Hardcopy + PDF Certificate + Exam | Lifetime Access

Kickstart a successful career in marketing and advertising with this complete training package for small business owners and aspiring professionals! The Digital Marketing, SEO and Virtual Advertising Diploma course will teach you effective techniques, best practices and strategies for advertising your product or service online, equipping you with the skills to fast track your career and expand your brand in no time. Get started in setting up your website and discover ways to grow your target market, with tips and guidance for creating the perfect marketing strategy. This course is ideal for small business owners and anyone looking to establish a career in digital marketing and advertising.  Why buy this Digital Marketing, SEO and Virtual Advertising Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Digital Marketing, SEO and Virtual Advertising Diploma you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Digital Marketing, SEO and Virtual Advertising Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Digital Marketing, SEO and Virtual Advertising Diploma was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Digital Marketing, SEO and Virtual Advertising Diploma is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction Welcome 00:01:00 Module 02: General Tips & Tricks Series How to register your company 00:04:00 How to see Email Sender's Company and Logo in Your Gmail 00:02:00 How to Generate sitemap of a website 00:03:00 How to protect a website from Spam on WordPress 00:02:00 Quick way to identify whether the website is Mobile optimized 00:03:00 How to identify registration data of website 00:01:00 How to identify duplicate content from the web 00:03:00 How to create google alerts 00:03:00 How to find the age of the domin 00:02:00 How to check if the website server is down 00:01:00 How to create text notes thatwill self destruct after being read 00:02:00 How to send google search information to your friends 00:03:00 How to find webhost of any website 00:02:00 Discover new sites that are similar to what you like alredy 00:03:00 How to easily highlight the important parts of a web page 00:01:00 How to share you email online without worrying about spam 00:02:00 How to get compute level answers without searching 00:03:00 The easiest way to setup email reminders 00:03:00 How to find the original URL tht's hiding behind a short URL 00:02:00 How to corrupt a file you shared online 00:01:00 How to create a throwaway email 00:02:00 How to check if your email account has been compromised 00:01:00 Module 03: SEO (Search Engine Optimisation) How to register website on Google search console 00:06:00 How to Optimize your website homepage 00:06:00 How to add a sitemap on google search 00:07:00 How to shortlist targeted keyword list in google keyword planner 00:08:00 How to set international targeting on google search 00:02:00 How to remove a URL from google search engine 00:03:00 How to identify competitors keyword 00:08:00 How to leverage top sites to get on google search results 00:04:00 Discover powerful data analytics to mesure SEO performance 00:06:00 How to do keyword research 00:11:00 How to write perfect title tags for search engines 00:05:00 How to optimise heading tags, external and internal links 00:08:00 What are backlinks & how to get them 00:06:00 How to write a perfect Meta description 00:06:00 How to enhance speed & performance of your website 00:04:00 Module 04: YouTube Youtube account setup 00:04:00 Account optimization 00:09:00 How to create & setup Youtube channel banner 00:05:00 Youtube channel tags, thumbnails & custom thumbnails 00:08:00 Analyse Youtube keyword research 00:05:00 Youtube SEO techniques 00:07:00 What are Youtube cards & how does it work 00:06:00 How to optimise comments & reply them in bulk 00:03:00 How to grow your channel with competitor Analysis 00:07:00 How to manage multiple YouTube accounts 00:02:00 A simple yet powerful trick to increase your subscribers list 00:03:00 Youtube Paid Advertising 00:13:00 How to monetise your YouTube channel 00:02:00 Module 05: Google Adwords What are Google Ads & how does it work 00:16:00 Account setup 00:04:00 Competitors analysis 00:08:00 Campaign types & how to select the right campaign 00:07:00 Bids & Budgets 00:08:00 How to target the right audience 00:07:00 Google Ads advance campaign settings 00:07:00 Choosing the right keywords 00:05:00 How to write ads that gets more clicks 00:06:00 Module 06: Google Analytics How to install tracking code on your website 00:04:00 How to add filters & remove internal traffic 00:04:00 How to track paid campaigns 00:04:00 How to look and analyse different segment data 00:06:00 How to configure goals in google analysics 00:05:00 How to link google Adwords account 00:03:00 How to manage multiple analytics accounts 00:02:00 How to remove spam traffic 00:04:00 Module 07: Email Marketing Email marketing tools set up ( Mailchimp and Gestresponse) 00:10:00 How to install signup or popup forms on the website 00:17:00 How to collect email address without a wbsite 00:05:00 How to create a 'Hook' to your signup forms 00:08:00 Discover the psychology behind acquiring more leads 00:09:00 Email marketing automation process 00:08:00 Email analytics 00:07:00 Module 08: Linkedln How to increase your connections in no time 00:08:00 Secret of LinkedIn InMails 00:05:00 Discover the best ways to use Linkedin Groups 00:09:00 How to setup a company page on Linkedin 00:04:00 How to increase traffic to your website using Linkedin blog 00:07:00 Module 09: Twitter Twitter Account setup 00:03:00 Knowing Twitter features 00:06:00 Following twitter accounts 00:03:00 Twitter profile optimisation 00:06:00 How to get Twitter followers 00:10:00 Posting first 5 tweets for engagement 00:05:00 Leveraging Hashtags to increase your tweets visibility 00:04:00 What are twitter polls & how do you use them 00:05:00 A powerful trick to acquire customers on twitter 00:03:00 How to get followers retweet your post 00:03:00 How to embed a twitter button to your website or post 00:02:00 Twitter analytics 00:04:00 Module 10: Facebook Set your Facebook page 00:05:00 Facebook Icon, cover image & description 00:06:00 How to get your first page likes 00:08:00 Discover how to increase your page likes 00:02:00 How to manage multiple Facebook page 00:03:00 Facebook comments 00:05:00 Leveraging Facebook groups 00:05:00 Facebook Autoposting 00:04:00 Run a competition 00:06:00 Facebook Ads 00:04:00 How to get best out of Facebook 00:15:00 Facebook pixel & Re-marketing 00:04:00 Module 11: Instagram How to setup a Instagram business profile 00:07:00 Set up Instagram bio & profile image 00:03:00 Leveraging Instagram accounts 00:06:00 A simple way to create free content on Instagram 00:05:00 Secret of hashtags on Instagram 00:04:00 Reposting Instagram App 00:04:00 How to get genuine Instagram followers 00:05:00 Discover how to grow your business through Instagram stories 00:05:00 How to get your posts reposted on Instgram by influncers 00:05:00 Module 12: Mobile App A quick way to do App store marketing research 00:16:00 How to discover the estimate size of your market 00:08:00 Discover the best ways to promote your app 00:15:00 App installs via Facebook Ads 00:16:00 App installs via Google Ads 00:14:00 How to make money from your app 00:08:00 How to optimise your App store listing ? 00:14:00 Discover growth hacking techniques for App downloads 00:09:00 Techniques to get to the top of App store ranking 00:07:00

Embark on a transformative journey through the intricate landscape of networking with the CompTIA Network+ Certification (N10-007). This course isn't just about mastering the intricacies of network models or delving into the depths of cabling and topology; it's about empowering yourself with the skills and knowledge to navigate the digital highways of the modern era confidently. Picture yourself as the architect, laying down the foundations of robust networks, securing them against digital threats, and troubleshooting with finesse. With CompTIA Network+ +, you're not just learning; you're shaping your future in information technology. In this comprehensive course, you'll traverse through 22 meticulously crafted sections, each unlocking a new facet of comptia networking. From understanding the fundamentals of TCP/IP to exploring the nuances of wireless networking and delving into virtualization and cloud computing, every lesson is a stepping stone towards network mastery. Through immersive learning experiences and hands-on comptia network+ practice tests, you'll absorb theoretical knowledge and hone your practical skills, preparing you for real-world challenges. Learning Outcomes: Master network models and topologies, laying a strong foundation for network architecture. Demonstrate proficiency in TCP/IP fundamentals and routing protocols for effective data transmission. Develop expertise in securing networks against cyber threats, ensuring data integrity and confidentiality. Acquire skills in network troubleshooting and monitoring, enabling swift resolution of issues. Apply wireless networking and cloud computing knowledge to design and implement scalable network solutions. Why buy this CompTIA Network+ Certification (N10-007)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the CompTIA Network+ Certification (N10-007) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this CompTIA Network+ Certification (N10-007) for? Aspiring IT professionals seeking to kickstart their careers in networking. Students aiming to enhance their employability with industry-recognized certifications. Career changers looking to transition into the dynamic field of information technology. IT professionals seeking to validate their skills and advance their careers. Anyone passionate about mastering the intricacies of comptia network and carving a niche in the digital landscape. Prerequisites This CompTIA Network+ Certification (N10-007) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA Network+ Certification (N10-007) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Network Administrator: £20,000 - £45,000 Per Annum Network Engineer: £25,000 - £55,000 Per Annum Systems Administrator: £22,000 - £50,000 Per Annum IT Support Technician: £18,000 - £35,000 Per Annum Cyber Security Analyst: £25,000 - £60,000 Per Annum Cloud Solutions Architect: £30,000 - £80,000 Per Annum Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Network Models What is a Model? 00:02:00 OSI vs. TCP/IP Model 00:07:00 Walking Through OSI and TCP/IP 00:12:00 Meet the Frame 00:06:00 The MAC Address 00:07:00 Broadcast vs. Unicast 00:04:00 Introduction to IP Addressing 00:08:00 Packets and Ports 00:05:00 Section 03: Cabling and Topology Network Topologies 00:10:00 Coaxial Cabling 00:05:00 Twisted Pair Cabling 00:06:00 Cat Ratings 00:06:00 Fiber Optic Cabling 00:09:00 Fire Ratings 00:05:00 Legacy Network Connections 00:07:00 Section 04: Ethernet Basics What is Ethernet? 00:07:00 Ethernet Frames 00:07:00 Early Ethernet 00:08:00 The Daddy of Ethernet, 10BaseT 00:03:00 Terminating Twisted Pair 00:14:00 Hubs vs. Switches 00:13:00 Section 05: Modern Ethernet 100BaseT 00:05:00 Connecting Switches 00:05:00 Gigabit Ethernet and 10-Gigabit Ethernet 00:05:00 Transceivers 00:07:00 Connecting Ethernet Scenarios 00:14:00 Section 06: Installing a Physical Network Introduction to Structured Cabling 00:04:00 Terminating Structured Cabling 00:08:00 Equipment Room 00:07:00 Alternative Distribution Panels 00:04:00 Testing Cable 00:09:00 Troubleshooting Structured Cabling, Part 1 00:05:00 Troubleshooting Structured Cabling, Part 2 00:05:00 Using a Toner and Probe 00:03:00 Wired Connection Scenarios 00:11:00 Section 07: TCP/IP Basics Introduction to IP Addressing and Binary 00:13:00 Introduction to ARP 00:04:00 Classful Addressing 00:10:00 Subnet Masks 00:12:00 Subnetting with CIDR 00:10:00 More CIDR Subnetting Practice 00:10:00 Dynamic and Static IP Addressing 00:18:00 Rogue DHCP Servers 00:07:00 Special IP Addresses 00:07:00 IP Addressing Scenarios 00:15:00 Section 08: Routing Introducing Routers 00:15:00 Understanding Ports 00:05:00 Network Address Translation 00:06:00 Implementing NAT 00:03:00 Forwarding Ports 00:18:00 Tour of a SOHO Router 00:12:00 SOHO vs. Enterprise 00:09:00 Static Routes 00:13:00 Dynamic Routing 00:11:00 RIP 00:04:00 OSPF 00:04:00 BGP 00:06:00 Section 09: TCP/IP Applications TCP and UDP 00:07:00 ICMP and IGMP 00:06:00 Handy Tools 00:07:00 Introduction to Wireshark 00:11:00 Introduction to netstat 00:09:00 Web Servers 00:12:00 FTP 00:12:00 E-mail Servers and Clients 00:09:00 Securing E-mail 00:06:00 Telnet and SSH 00:09:00 Network Time Protocol 00:02:00 Network Service Scenarios 00:10:00 Section 10: Network Naming Understanding DNS 00:12:00 Applying DNS 00:19:00 The Hosts File 00:04:00 Net Command 00:08:00 Windows Name Resolution 00:11:00 Dynamic DNS 00:05:00 DNS Troubleshooting 00:13:00 Section 11: Securing TCP/IP Making TCP/IP Secure 00:04:00 Symmetric Encryption 00:06:00 Asymmetric Encryption 00:03:00 Cryptographic Hashes 00:05:00 Identification 00:12:00 Access Control 00:04:00 AAA 00:05:00 Kerberos/EAP 00:08:00 Single Sign-On 00:10:00 Certificates and Trust 00:14:00 Certificate Error Scenarios 00:08:00 Section 12: Advanced Networking Devices Understanding IP Tunneling 00:06:00 Virtual Private Networks 00:13:00 Introduction to VLANs 00:12:00 InterVLAN Routing 00:03:00 Interfacing with Managed Switches 00:11:00 Switch Port Protection 00:07:00 Port Bonding 00:07:00 Port Mirroring 00:04:00 Quality of Service 00:05:00 IDS vs. IPS 00:04:00 Proxy Servers 00:13:00 Load Balancing 00:09:00 Device Placement Scenarios 00:13:00 Section 13: IPv6 Introduction to IPv6 00:13:00 IPv6 Addressing 00:15:00 IPv6 in Action 00:13:00 IPv4 and IPv6 Tunneling 00:05:00 Section 14: Remote Connectivity Telephony Technologies 00:09:00 Optical Carriers 00:03:00 Packet Switching 00:05:00 Connecting with Dial-up 00:05:00 Digital Subscriber Line (DSL) 00:05:00 Connecting with Cable Modems 00:04:00 Connecting with Satellites 00:03:00 ISDN and BPL 00:04:00 Remote Desktop Connectivity 00:05:00 Advanced Remote Control Systems 00:09:00 Section 15: Wireless Networking Introduction to 802.11 00:12:00 802.11 Standards 00:12:00 Power over Ethernet (PoE) 00:04:00 Antennas 00:09:00 Wireless Security Standards 00:16:00 Implementing Wireless Security 00:07:00 Threats to Your Wireless Network 00:07:00 Retro Threats 00:05:00 Wi-Fi Protected Setup (WPS) 00:05:00 Enterprise Wireless 00:06:00 Installing a Wireless Network 00:15:00 Wireless Scenarios 00:07:00 More Wireless Scenarios 00:09:00 Section 16: Virtualization and Cloud Computing Virtualization Basics 00:07:00 Cloud Ownership 00:03:00 Cloud Implementation 00:12:00 Your First Virtual Machine 00:09:00 NAS and SAN 00:16:00 Platform as a Service (PaaS) 00:09:00 Software as a Service (SaaS) 00:03:00 Infrastructure as a Service (IaaS) 00:10:00 Section 17: Mobile Networking Cellular Technologies 00:05:00 Mobile Connectivity 00:07:00 Deploying Mobile Devices 00:05:00 Mobile Access Control 00:06:00 Section 18: Building a Real-World Network Network Types 00:04:00 Network Design 00:10:00 Power Management 00:06:00 Unified Communications 00:11:00 Network Documentation 00:07:00 Contingency Planning 00:10:00 Predicting Hardware Failure 00:05:00 Backups 00:08:00 Section 19: Managing Risk What is Risk Management? 00:06:00 Security Policies 00:08:00 Change Management 00:07:00 User Training 00:03:00 Standard Business Documentation 00:05:00 Mitigating Network Threats 00:05:00 High Availability 00:05:00 Section 20: Protecting Your Network Denial of Service 00:09:00 Malware 00:10:00 Social Engineering 00:04:00 Access Control 00:08:00 Man-in-the-Middle 00:22:00 Introduction to Firewalls 00:05:00 Firewalls 00:10:00 DMZ 00:06:00 Hardening Devices 00:14:00 Physical Security Controls 00:09:00 Testing Network Security 00:08:00 Network Protection Scenarios 00:14:00 Section 21: Network Monitoring SNMP 00:15:00 Documenting Logs 00:09:00 System Monitoring 00:08:00 SIEM (Security Information and Event Management) 00:07:00 Section 22: Network Troubleshooting Network Troubleshooting Theory 00:05:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Power Electronics for Electrical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Power Electronics for Electrical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Power Electronics for Electrical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Power Electronics for Electrical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Power Electronics for Electrical Engineering? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Power Electronics for Electrical Engineering there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Power Electronics for Electrical Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Power Electronics for Electrical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Power Electronics for Electrical Engineering was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Power Electronics for Electrical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 1- Introduction to Power Electronics Components Module 1- Introduction to Power Electronics 00:13:00 Module 2- Uncontrolled Switches 00:17:00 Module 3- What is the Benefit of Diode 00:06:00 Module 4- Semi-Controlled Switches Part 1 00:09:00 Module 5- Semi-Controlled Switches Part 2 00:14:00 Module 6- Semi-Controlled Switches Part 3 00:05:00 Module 7- What is the Benefit of Thyristor 00:05:00 Module 8- Fully Controlled Switches Part 1 00:17:00 Module 9- Fully Controlled Switches Part 2 00:10:00 Module 10- Fully Controlled Switches Part 3 00:12:00 Unit 2- Fundamentals of Rectifier Circuits Module 1- Overview on Rectifiers 00:02:00 Module 2- Rectifier Definition 00:01:00 Module 3- Half Wave Uncontrolled Rectifier with R Load 00:21:00 Module 4- Example on Half Wave Uncontrolled Rectifier with R Load Part 1 00:06:00 Module 5- Example on Half Wave Uncontrolled Rectifier with R Load Part 2 00:07:00 Module 6- Half Wave Uncontrolled Rectifier with RL Load 00:10:00 Module 7- Derivation of the Discontinuous Current in R-L Load 00:08:00 Module 8- Freewheeling Diode (Commutation Diode) 00:03:00 Module 9- Half Wave R-L Load with FWD 00:09:00 Module 10- Difference Between Continuous and Discontinuous Mode in RL Load 00:07:00 Module 11- Half Wave RL Load with FWD Continuous Mode 00:06:00 Module 12- Example on Half Wave Rectifier with FWD 00:07:00 Module 13- Bridge Full Wave Uncontrolled Rectifier Part 1 00:07:00 Module 14- Bridge Full Wave Uncontrolled Rectifier Part 2 00:05:00 Module 15- Quick Revision on Bridge Full Wave Uncontrolled Rectifier 00:06:00 Module 16- Firing Angle 00:02:00 Module 17- Half Wave Controlled Rectifier R Load 00:05:00 Module 18- Half Wave Controlled Rectifier R-L Load 00:04:00 Module 19- Half Controlled R-L Load with FWD 00:06:00 Module 20- Example 1 00:07:00 Module 21- Example 2 00:08:00 Module 22- Example 3 00:13:00 Module 23- Example 4 00:09:00 Module 24- Example 5 00:05:00 Module 25- Fully Controlled Bridge Rectifier Part 1 00:06:00 Module 26- Fully Controlled Bridge Rectifier Part 2 00:06:00 Module 27- Quick Revision on Bridge Full Wave Controlled Rectifier 00:02:00 Module 28- Example 6 00:08:00 Module 29- Half Controlled Bridge Rectifier 00:08:00 Module 30- Half Controlled Bridge Rectifier with FWD 00:05:00 Module 31- Example 7 00:06:00 Module 32- Example 8 00:07:00 Module 33- Performance Parameters 00:04:00 Module 34- Power Factor 00:04:00 Unit 3- Fundamentals of AC Choppers Module 1- Introduction to AC Choppers 00:02:00 Module 2- Definition of AC Choppers 00:05:00 Module 3- Switching Techniques in AC Choppers 00:06:00 Module 4- Applications on AC Choppers 00:03:00 Module 5- Types of AC Choppers 00:02:00 Module 6- AC Chopper with R Load 00:14:00 Module 7- Example 1 on AC Chopper with R Load 00:06:00 Module 8- Example 2 on AC Chopper with R Load 00:04:00 Module 9- AC Chopper with L Load Part 1 00:13:00 Module 10- AC Chopper with L Load Part 2 00:06:00 Module 11- Example on AC Chopper with L Load 00:08:00 Module 12- AC Chopper with RL Series Load 00:20:00 Module 13- Example on AC Chopper with RL Series Load 00:07:00 Module 14- AC Chopper with RL Parallel Load 00:25:00 Module 15- Example on AC Chopper with RL Parallel Load 00:06:00 Module 16- AC Chopper with Pure Capacitive Load 00:14:00 Module 17- Example on AC Chopper with Pure Capacitive Load 00:04:00 Module 18- AC Chopper Loaded by Heavy Rectifier 00:06:00 Module 19- AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:12:00 Module 20- Example on AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:08:00 Module 21- Integral Cycle Control 00:11:00 Module 22- Example on Integral Cycle Control 00:04:00 Unit 4- Fundamentals of DC Choppers Module 1- Introduction to DC Choppers 00:02:00 Module 2- Definition and Application of DC Choppers 00:05:00 Module 3- Step down DC Chopper with R Load 00:12:00 Module 4- Example on Step Dwon DC Chopper with R Load 00:08:00 Module 5- Generation of Duty Cycle 00:09:00 Module 6- Switching Techniques 00:03:00 Module 7- Step Down DC Chopper with RLE Load Part 1 00:19:00 Module 8- Step Down DC Chopper with RLE Load Part 2 00:15:00 Module 9- Example 1 on Step Down DC Chopper with RLE Load 00:13:00 Module 10- Example 2 on Step Down DC Chopper with RLE Load 00:02:00 Module 11- Step Up DC Chopper with R or RL Load 00:09:00 Module 12- Step Up DC Chopper with RE Load 00:15:00 Module 13- Example on Step Up DC Chopper with RE Load 00:20:00 Module 14- Buck Regulator Part 1 00:16:00 Module 15- Buck Regulator Part 2 00:17:00 Module 16- Example on Buck Regulator 00:03:00 Module 17- Boost Regulator 00:23:00 Module 18- Example on Boost Regulator 00:06:00 Module 19- Buck Boost Converter 00:17:00 Module 20- Example on Buck-Boost Converter 00:05:00 Unit 5- Fundamentals of Inverters Module 1- Introduction to Inverters 00:02:00 Module 2- Definition of Inverters 00:04:00 Module 3- Importance and Applications of Inverters 00:08:00 Module 4- Single Phase Half Bridge R-Load 00:15:00 Module 5- Single Phase Half Bridge RL- Load 00:08:00 Module 6- Performance Parameters of an Inverter 00:05:00 Module 7- Example on Single Phase Half Bridge 00:10:00 Module 8- Single Phase Bridge Inverter R- Load 00:06:00 Module 9- Single Phase Bridge Inverter RL- Load 00:07:00 Module 10- Example on Single Phase Bridge Inverter 00:06:00 Module 11- Three Phase Inverters and Obtaining the Line Voltages 00:15:00 Module 12- Threee Phase Inverters and Obtaining The Phase Voltages 00:17:00 Module 13- Example on Three Phase Inverters 00:16:00 Module 14- Single Pulse Width Modulation 00:13:00 Module 15- Multiple Pulse Width Modulation 00:13:00 Module 16- Example on Multiple Pulse Width Modulation 00:04:00 Module 17- Sinusoidal Pulse Width Modulation 00:16:00 Module 18- Industrial Inverter 00:03:00 Assignment Assignment - Power Electronics for Electrical Engineering 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Microsoft Power BI Masterclass 2021 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Microsoft Power BI Masterclass 2021 Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Microsoft Power BI Masterclass 2021 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Microsoft Power BI Masterclass 2021 Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Microsoft Power BI Masterclass 2021? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Microsoft Power BI Masterclass 2021 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Microsoft Power BI Masterclass 2021 course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill.   Prerequisites This Microsoft Power BI Masterclass 2021 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Power BI Masterclass 2021 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Microsoft Power BI Masterclass 2021 is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:02:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up - Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Microsoft Power BI Masterclass 2021 00:00:00 Assignment Assignment - Microsoft Power BI 00:00:00

Dive into the realm of effective management with our course, 'Essentials of Becoming a Manager and Managing Teams'. Navigate the challenges of stepping into a managerial role in 'New Manager Mastery'. Discover the art of selecting the perfect candidate for your team in 'A Masterclass in Hiring For Your Teams' and foster an environment that promotes continuous growth with 'Creating a Culture of Learning in Your Organisation'. Equip yourself with top-tier interview techniques, manage stress, lead with conviction, conduct impactful meetings, and delve into the intricacies of advanced team management. Learning Outcomes Understand the transition intricacies and best practices of becoming a new manager. Master the strategies to effectively hire and onboard team members. Establish and nurture a growth-oriented learning culture within the organisation. Acquire techniques to proficiently manage stress, ensuring personal and team well-being. Lead meetings effectively and gain insights into advanced aspects of team leadership. Why buy this Essentials of Becoming a Manager and Managing Teams course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Essentials of Becoming a Manager and Managing Teams there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Essentials of Becoming a Manager and Managing Teams course for? Aspiring managers looking to transition into leadership roles seamlessly. Team leaders seeking to refine their hiring and team-building strategies. Organisational heads aiming to instil a robust learning culture. Professionals wanting to enhance their interview conduction skills. Individuals eager to develop leadership attributes and manage workplace stress. Prerequisites This Essentials of Becoming a Manager and Managing Teams does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Essentials of Becoming a Manager and Managing Teams was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Manager: £30,000 - £45,000 Team Leader: £25,000 - £35,000 HR Specialist: £28,000 - £40,000 Training and Development Officer: £27,000 - £37,000 Stress Management Consultant: £35,000 - £50,000 Meetings Coordinator: £22,000 - £30,000 Course Curriculum Section 01: New Manager Mastery What to Expect & About Me 00:02:00 Well Done! 00:02:00 It's a Different Job 00:03:00 You're Scared? Good! 00:02:00 The Manager Mindset 00:03:00 Set Expectations 00:04:00 Get Learning Leadership! 00:03:00 What is Culture? 00:02:00 Culture of Fairness 00:08:00 People Are Crazy 00:02:00 Mastering One To One Meetings 00:05:00 Manager to Coach 00:07:00 Me? A Psychologist? 00:02:00 Emotional Intelligence 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 How to Hire a Diverse Workforce 00:06:00 Get the Basics Right Every Time 00:02:00 Conclusion 00:02:00 Section 02: A Masterclass In Hiring For Your Teams Introduction 00:02:00 The Importance of the Interview Process 00:03:00 What's Wrong With The Interview Process 00:07:00 Human Vs. Algorithm 1 00:02:00 Unconscious Interviewer Biases 00:03:00 Be Data Driven 00:03:00 Let's See You In Action 00:02:00 Keep it Relevant 00:02:00 Seriously Avoid These Topics 00:03:00 Benefits of a Diverse Workforce 00:03:00 How to Hire a Diverse Workforce 00:06:00 Hunger and Desire Over Skills 00:03:00 Culture Addition, Not Culture Fit 00:03:00 Compliment, Backup or Add To The Team 00:05:00 Hiring The Right Rank 00:04:00 What Are Your Location Restrictions 00:01:00 The Risk Of Delivering Less 00:02:00 The Risk Of Burnout 00:02:00 The Risk Of Losing The Headcount 00:02:00 Confirm The Job Is What They Think It Is 00:02:00 Sell Yourself, The Team & The Company 00:03:00 Don't Be A Jerk 00:02:00 It's Not About Making You Look Good 00:02:00 Managing Recruitment Agencies 00:04:00 Communications With The Candidate 00:03:00 Be Ready 00:03:00 Assign A Buddy 00:02:00 You Got It Wrong! 00:02:00 Conclusion 00:03:00 Section 03: Creating a Culture Of Learning In Your Organization What To Expect From The Course 00:02:00 Why Even Bother? 00:07:00 What Learning Used To Be Like 00:02:00 Individual Learner 00:01:00 Everyone Says They Are A Self-Learner 00:10:00 Online Communities 00:02:00 Embedding Learning Into Daily Life 00:03:00 Teach It To Learn It 00:02:00 Learning New Vs Becoming Expert 00:01:00 Listen Faster 00:01:00 Tom's Approach 00:02:00 The Paid Training Course Is History 00:03:00 Develop The Right Mental Habits 00:06:00 Make It Easier On Yourself 00:02:00 Manager Responsibilities 00:01:00 Are You Really A Centre Of Excellence? 00:02:00 Learning As Part Of Performance Evaluation 00:02:00 Don't Worry If People Leave 00:01:00 The Benefits Of A Skilled User Base 00:02:00 Push It, Push It, Push It 00:01:00 The Golden Hour 00:09:00 Internal Mobility 00:03:00 Team Secondment 00:02:00 Make People Good Enough To Quit 00:03:00 Lunch & Learns 00:02:00 Personalised Learning Plans 00:02:00 Use It Or Lose It 00:02:00 Certifiably Great 00:02:00 Get A Learning Buddy 00:02:00 Senior Leaders Responsibilities 00:01:00 Walk It From The Top 00:02:00 Learning Wherever, Whenever 00:02:00 Show Us The Data 00:02:00 Create Learning Champions 00:02:00 Gamification 00:02:00 Sell, Sell, Sell 00:03:00 Don't Block The Useful Sites 00:03:00 Create A Varied Library Of Resources 00:02:00 Encourage Conferences And Seminars 00:04:00 The Feedback Loop 00:02:00 Learning Is Expensive 00:03:00 Learning Takes Time 00:02:00 Concluding Remarks 00:04:00 Section 04: Job Interview Practicals: Complete Interview Skills Training Interview Masterclass - Maximize Your Chances of Success 00:03:00 Get Yourself Game Ready! 00:08:00 Final Prep Tips! 1-2 Days Before Interview 00:03:00 It's Interview Day! How to ACE the interview! 00:07:00 Positive Personality Traits Interviewers Are Desperate For 00:07:00 How to Engage & Impress in Conversation 00:05:00 The Art of Asking Questions 00:08:00 How to Answer Questions Using Skill & Psychological Tricks 00:10:00 After Interview - Still More You Can Do 00:05:00 Staying Professional 00:02:00 That Wasn't What You Expected!! 00:03:00 Waiting For The Answer 00:02:00 Let's Review The Tips - So Much To Consider 00:04:00 Section 05: Beating Burnout - Practical & Complete Stress Management Introduction to Overcoming Burnout 00:03:00 The Problem of Burnout in Modern Workplaces 00:06:00 Symptoms of Burnout - Do You Have It? 00:03:00 How Individuals Can Fight Back Against Burnout 00:12:00 How Leaders Can Create A Burnout Free Culture 00:10:00 Let's Review The Advice - What's Important? 00:03:00 Section 06: Practical Leadership: Complete Guide To Great Leadership Characteristics of Great Leaders - Introduction 00:02:00 Honesty, Coaching & The Mission 00:08:00 Empathy, Togetherness & Feedback 00:06:00 Change, Authenticity & Enablement 00:05:00 Perspective, Empowerment & Emotional Intelligence 00:05:00 My Favourite Tips & Bonus! 00:05:00 Section 07: Mastering Meetings - A Complete Practical Guide To Meetings What to Expect 00:04:00 What & Why? 00:03:00 The Cost of Meetings 00:02:00 Red Amber & Green Meetings 00:06:00 Do You Need A Meeting? 00:04:00 Timing Considerations 00:07:00 Contents of the Invite 00:03:00 Scheduling Etiquette 00:07:00 Considerations for Externals 00:05:00 The Meeting as an Opportunity 00:02:00 Chairing Meetings 00:01:00 Your Agenda 00:08:00 Kicking Off 00:06:00 During The Meeting 00:08:00 After Meeting Minutes 00:06:00 Considerations 00:06:00 Concluding Remarks 00:02:00 Section 08: Advanced People Management - What They Don't Tell You About Team Leading! What To Expect & About Me 00:02:00 Management Vs. Coaching 00:07:00 What Is Culture? 00:02:00 Culture of Fairness 00:08:00 How To Be A Great Listener 00:05:00 Mastering Performance Evaluations 00:07:00 Welcoming New Starters 00:07:00 Stupid Things NOT To Say To Your Team 00:07:00 Your Team Made A Mistake 00:06:00 Mastering Crucial Conversations 00:05:00 When to Fire Someone 00:06:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Electrical Machines for Electrical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Electrical Machines for Electrical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Electrical Machines for Electrical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Electrical Machines for Electrical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Electrical Machines for Electrical Engineering? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Electrical Machines for Electrical Engineering there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Electrical Machines for Electrical Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Electrical Machines for Electrical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Machines for Electrical Engineering was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Electrical Machines for Electrical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 1: Introduction to Electric Machines Module 1- Introduction to Electric Machines 00:03:00 Module 2- Types of Electric Machines and Principle of Electrical Generation 00:09:00 Unit 2: DC Machines Module 1- Importance and Construction of DC Machines 00:26:00 Module 2- Armature Winding and EMF Equation 00:40:00 Module 3-Solved Example 1 00:05:00 Module 4-Solved Example 2 00:04:00 Module 5-Solved Example 3 00:07:00 Module 6-Solved Example 4 00:06:00 Module 7-Separately Excited DC Machine 00:21:00 Module 8-Shunt and Series DC Machines 00:25:00 Module 9-Solved Example 1 on Separately Excited DC Machine 00:07:00 Module 10-Solved Example 2 on Separately Excited DC Machine 00:07:00 Module 11-Solved Example 3 on Shunt Generator 00:04:00 Module 12-Solved Example 4 on Shunt Generator 00:07:00 Module 13-Solved Example 5 on Series DC Generator 00:06:00 Module 14-Types and Applications of Compound DC Motors 00:07:00 Module 15- Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor 00:33:00 Module 16- Torque-Speed Characteristics of Series DC Motor 00:08:00 Module 17-Solved Example 1 on Speed Control 00:08:00 Module 18-Solved Example 2 on Speed Control 00:06:00 Module 19- Starting of DC Machine 00:14:00 Module 20- Armature Reaction in DC Machines 00:10:00 Module 21-Losses in DC Machines 00:04:00 Unit 3: Construction of Transformers Module 1- What is a Transformer 00:02:00 Module 2- Importance of Transformer 00:04:00 Module 3-Iron Core of Transformer 00:04:00 Module 4- Magnetic Circuit Inside Transformer 00:05:00 Module 5- Windings of Transformer 00:03:00 Module 6- Why are Windings Made of Copper 00:01:00 Module 7- Classification of Windings 00:05:00 Module 8- Insulating Material and Transformer Oil 00:02:00 Module 9- Conservator of Transformer 00:03:00 Module 10- Breather of Transformer 00:04:00 Module 11- Bushings of Transformer 00:04:00 Module 12- Tap Changer of Transformer 00:03:00 Module 13- Cooling Tubes of Transformer 00:01:00 Module 14- Buchholz Relay of Transformer 00:02:00 Module 15- Explosion Vent 00:02:00 Module 16- Methods of Cooling 00:03:00 Module 17-Types of Transformers 00:03:00 Module 18- Power Transformer and Distribution Transformer 00:05:00 Module 19- Single Phase Core Type Transformer 00:04:00 Module 20-Single Phase Shell Type Transformer 00:05:00 Module 21- 3 Phase Core Type 00:02:00 Module 22- 3 Phase Shell Type 00:01:00 Module 23- Comparison between Shell and Core CSA 00:01:00 Module 24- Comparison between Shell and Core Type 00:01:00 Module 25- Notes 00:03:00 Module 26-Video Explaining The Components in 3D and Real Life 00:05:00 Unit 4: Fundamentals of Magnetic Circuits Module 1- Introduction to Magnetic Circuits 00:02:00 Module 2- Induced Emf and Current 00:04:00 Module 3- Ampere Right Hand Rule 00:04:00 Module 4- Magnetic Circuit and Important Definitions 00:06:00 Module 5- Linear and Non Linear Materials 00:03:00 Module 6-Flux Linkage and Reluctance 00:04:00 Module 7- Analogy between Electric and Magnetic Circuits 00:06:00 Module 8- Fringing Effect 00:02:00 Module 9- Example 1 Magnetic Circuits 00:07:00 Module 10- Example 2 00:03:00 Module 11- Example 3 00:06:00 Module 12- Application on Magnetic Circuit - Transformers 00:04:00 Unit 5: Theoretical Part on Transformers Module 1- Introduction to Transformers 00:02:00 Module 2- Construction of Transformer 00:02:00 Module 3-Theory of Operation 00:04:00 Module 4- Ideal Transformer 00:05:00 Module 5-Non Ideal Transformer 00:02:00 Module 6- Effect of Loading on Transformer 00:03:00 Module 7- Transformer Regulation 00:03:00 Module 8- Transformer Losses 00:03:00 Module 9- Transformer Efficiency 00:05:00 Module 10- Transformer Rating 00:02:00 Module 11- Question 1 00:01:00 Module 12- Question 2 00:02:00 Module 13- Question 3 00:01:00 Module 14- Example 1 00:01:00 Module 15- Voltage Relation of Transformer 00:04:00 Module 16- Transformer Exact Equivalent Circuit 00:06:00 Module 17- Concept of Refereeing 00:04:00 Module 18- Approximate Equivalent Circuit 00:02:00 Unit 6: Synchronous Machines Module 1- Construction and Principle of Operation of Synchronous Generator 00:29:00 Module 2- Principle of Operation of Synchronous Motor 00:24:00 Module 3- Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine 00:29:00 Module 4-Solved Example 1 on Non Salient Machine 00:05:00 Module 5-Solved Example 2 on Non Salient Machine 00:11:00 Module 6-Solved Example 3 on Non Salient Machine 00:07:00 Module 7- Solved Example 4 on Non Salient Machine 00:04:00 Module 8-Solved Example 5 on Non Salient Machine 00:07:00 Module 9-Solved Example 6 on Non Salient Machine 00:03:00 Module 10- Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine 00:39:00 Module 11-Solved Example 1 on Salient Machine 00:09:00 Module 12- Solved Example 2 on Salient Machine 00:05:00 Module 13-Solved Example 3 on Salient Machine 00:10:00 Module 14- Parallel Operation of Two Generators 00:17:00 Module 15- Synchronization of Machine with Grid 00:10:00 Unit 7: Induction Machines Module 1- Construction and Theory of Operation of Induction Machines 00:27:00 Module 2- Equivalent Circuit and Power Flow in Induction Motor 00:23:00 Module 3- Torque-Speed Characteristics of Induction Motor 00:20:00 Module 4- Solved Example 1 on Induction Motor 00:08:00 Module 5-Solved Example 2 on Induction Motor 00:06:00 Module 6-Solved Example 3 on Induction Motor 00:06:00 Module 7-Solved Example 4 on Induction Motor 00:18:00 Module 8-Solved Example 5 on Induction Motor 00:13:00 Module 9- Methods of Speed Control of Induction Motor 00:27:00 Module 10- Methods of Starting of Induction Motor 00:21:00 Module 11-Solved Example on Motor Starter 00:15:00 Module 12- Principle of Operation of Doubly Fed Induction Generator 00:11:00 Module 13-Self Excited Induction Generator 00:08:00 Assignment Assignment - Electrical Machines for Electrical Engineering 00:00:00

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00