144 Notebook courses delivered Online

Description Art And Science Of Diary Keeping Diploma In today's fast-paced world, the value of reflection and introspection cannot be overstated. The Art And Science Of Diary Keeping Diploma offers learners the opportunity to master the age-old tradition of diary keeping, but with a modern twist. Designed specifically for online learners, this course bridges the gap between the artistic aspects of maintaining a diary and the scientific methods that enhance its effectiveness in various areas of life. The course commences with 'The Art of Diary Management'. Here, participants are introduced to the foundational elements of maintaining a diary. The emphasis is not only on the act of writing but also on the importance of cultivating a habit, understanding its therapeutic benefits, and embracing it as an extension of oneself. 'Setting Up Your Diary' is a crucial unit where participants will learn the nuts and bolts of starting their diary journey. From selecting the perfect notebook or digital tool to personalising its pages, this section ensures that every diary truly reflects the individual behind the words. Time is our most invaluable asset, and 'Diary for Time Management' teaches learners to harness their diaries as tools for maximising productivity. By jotting down tasks, appointments, and deadlines, individuals can ensure they remain on top of their schedules and prioritise their time effectively. Goals give direction to life, and 'Diary for Goal Setting' empowers participants to outline their ambitions, track their progress, and celebrate their achievements. Whether short-term targets or life-long dreams, this section guides learners in making their aspirations tangible. Life comes with its share of challenges, and 'Diary for Stress Management' highlights the therapeutic benefits of penning down one's feelings, concerns, and anxieties. By transferring thoughts onto paper, individuals can gain clarity, find solutions, or simply experience relief. Creativity is not limited to artists. 'Diary for Creativity and Ideas' offers methods to harness the diary as a brainstorming tool, capturing flashes of inspiration, mind maps, or simply doodling to unlock the imagination. Relationships form the backbone of human existence. Through 'Diary for Relationships and Networking', students learn to document interactions, track contacts, and even evaluate the quality and depth of their connections, ensuring meaningful relationships in personal and professional lives. Wellbeing is multifaceted, and 'Diary for Health and Wellness' introduces the concept of a health diary. From tracking exercise routines to noting down dietary habits or monitoring mood swings, this section emphasises the importance of holistic health. Managing finances can be daunting. However, 'Diary for Financial Management' equips learners with strategies to maintain a financial diary. By noting down expenses, savings, investments, and financial goals, individuals can achieve financial discipline and grow their wealth. Lastly, 'Advanced Diary Management Techniques' introduces participants to cutting-edge strategies and tools that enhance the diary keeping experience. This section ensures that learners are equipped with the latest in diary management, making their journey both efficient and fulfilling. In conclusion, the Art And Science Of Diary Keeping Diploma is not merely a course but a journey of self-discovery, planning, and reflection. Designed with precision for online enthusiasts, this course promises to transform diary keeping from a mundane task to a powerful tool for life enhancement. Join today and embark on a transformative journey with the pages of your diary. What you will learn 1:The Art of Diary Management 2:Setting Up Your Diary 3:Diary for Time Management 4:Diary for Goal Setting 5:Diary for Stress Management 6:Diary for Creativity and Ideas 7:Diary for Relationships and Networking 8:Diary for Health and Wellness 9:Diary for Financial Management 10:Advanced Diary Management Techniques Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

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 Azure Machine Learning 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 the professional training employers seek in today's workplaces. The Azure Machine Learning Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Azure Machine Learning 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 Azure Machine Learning Course, like every one of Skillwise'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 Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Azure Machine Learning? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standards accredited qualifications after course completion Receive one-to-one assistance 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 Azure Machine Learning 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Azure Machine Learning 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 skills. Prerequisites This Azure Machine Learning does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Azure Machine Learning was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Azure Machine Learning is a great way for you to gain multiple skills from the comfort of your home. Azure Machine Learning Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration 00:22:00 Module 02: Various Modules in Machine Learning 00:13:00 Module 03: Prediction of Income (Automated Tutorial) 00:33:00 Module 04: Prediction of Automobile Price using Linear Regression Algorithm 00:59:00 Module 05: Dataset Processing and Analysis (Sample-1) 00:57:00 Module 06: Cross Validation for Regression (Sample-2) 00:28:00 Module 07: Clustering Group Iris data (Sample-3) 00:17:00 Module 08: Introduction on Notebook in Microsoft Azure Machine Learning Studio 00:18:00 Assignment Assignment - Azure Machine Learning 06:06:00 Order Your Certificate Order Your Certificate QLS

Description: Microsoft OneNote 2013 is a powerful tool that helps you to organise your projects and ideas. This course is designed to provide a basic understanding of OneNote 2013. Students will be shown a practical way of learning with a hands-on and customizable approach. They will also get a chance to experience some of the new features that are offered in OneNote2013. By the end of this course, students will have an improved user interface with an array of powerful tools to help them manage their data through Skydrive - and better information leads to better decision making! Who is this course for? This course would be ideal for Microsoft Office users, students and office workers. This course is designed for anyone who wants to learn Microsoft OneNote. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Microsoft One Note for Beginners will be very beneficial and helpful, especially to the following professionals: Event planner Project manager Real estate agent Travel agent Teacher Lawyer Microsoft One Note for Beginners Module One - Getting Started 00:30:00 Module Two - Your First Notebook 01:00:00 Module Three - Working with Text 01:00:00 Module Four - Working with Pages and Sections 01:00:00 Module Five - Staying Organized 01:00:00 Module Six - Tagging and Searching Notes 01:00:00 Module Seven - Using Send to OneNote 01:00:00 Module Eight - Inserting Basic Objects 01:00:00 Module Nine - Drawing in OneNote 01:00:00 Module Ten - Reviewing Your Notes 01:00:00 Module Eleven - Sharing Your Notes 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft One Note for Beginners 00:00:00 Mock Exam Mock Exam- Microsoft One Note for Beginners 00:20:00 Final Exam Final Exam- Microsoft One Note for Beginners 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!

Unlock the world of programming excellence with our 'Diploma in Python Programming' course. In this dynamic learning journey, you'll delve into the fundamental concepts of Python and emerge as a proficient Python programmer. Whether you're a novice or have some prior coding experience, this course caters to all levels of learners. You'll start with the basics, gradually working your way up to complex Python operations, data structures, and even creating a fun Rock, Paper, and Scissors project. By the end of this course, you'll have a strong grip on Python, be able to write user functions, handle exceptions, explore databases, and much more. Take your first step towards becoming a skilled Python programmer and discover the endless possibilities this versatile language offers. Learning Outcomes Master the foundational concepts of Python programming. Develop essential skills in working with strings, dates, and files using Python. Create user functions, handle exceptions, and install packages. Explore database management using SQLite and interact with the operating system. Gain the knowledge and confidence to run Python programs in different environments, including Jupyter Notebook. Why choose this Python Programming Diploma? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python Programming Diploma for? Aspiring programmers looking to kickstart their coding journey. Professionals seeking to expand their skill set and explore Python. Students aiming to excel in programming and computer science. Anyone curious about the power and versatility of Python as a programming language. Career path Python Programmer: £25,000 - £70,000 Data Analyst: £30,000 - £60,000 Web Developer: £25,000 - £50,000 Software Engineer: £35,000 - £80,000 Machine Learning Engineer: £40,000 - £90,000 Data Scientist: £40,000 - £70,000 Prerequisites This Diploma in Python Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Diploma in Python Programming 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction to Python Programming Module 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Module 01: Software Installation 00:02:00 Module 02: Hello World Program 00:06:00 Module 03: Input and Output 00:07:00 Module 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Module 01: If Loop In Python 00:06:00 Module 02: Program Using If Else part 1 00:03:00 Module 03: Program Using If Else part 2 00:08:00 Module 04: Program for Calculator 00:02:00 Module 05: Program Using For Loop 00:08:00 Module 06: For Table 00:05:00 Module 07: For loop and Mathematical Operator in Python 00:04:00 Module 08: Factorial of Number Using Python 00:06:00 Module 09: Program Using While 00:05:00 Module 10: While Loop Example 00:07:00 Module 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Module 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Module 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Module 01: Program Using String part 1 00:05:00 Module 02: Program using String 2 00:06:00 Module 03: Program Using String 3 00:06:00 Module 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Module 01: Use of Date and Time part 1 00:05:00 Module 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Module 01: File Handling Part 1 00:08:00 Module 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Module 01: Tuple in Python Part 1 00:10:00 Module 02: Tuple in Python Part 2 00:07:00 Module 03: Using Lists part 1 00:07:00 Module 04: Using List part 2 00:12:00 Module 05: Using Lists part 3 00:06:00 Module 06: Using Lists part 4 00:08:00 Module 07: Using Lists part 5 00:02:00 Module 08: Use of Dictionary Part 1 00:04:00 Module 09: Use of Dictionary Part 2 00:05:00 Module 10: Use of Dictionary Part 3 00:08:00 Module 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Module 01: Function in Python Part 1 00:06:00 Module 02: Function in Python Part 2 00:05:00 Module 03: Function in Python Part 3 00:04:00 Module 04: Function in Python Part 4 00:07:00 Module 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Module 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Module 01: Import Study part 1 00:07:00 Module 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Module 01: Importing OS 00:06:00 Module 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Module 01: Exception in Python part 1 00:11:00 Module 02: Exception in Python part 2 00:07:00 Module 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Module 01: Installing Packages using built in package manager 00:08:00 Module 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Module 01: Data Base 1 00:08:00 Module 02: Data Base 2 00:09:00 Module 03: Data Base 3 00:08:00 Module 04: Data base 4 00:07:00 Module 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Module 01: IDE_1 00:05:00 Module 02: IDE_2 00:07:00 Unit 18: Conclusion Module 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 05:14:00

Ask yourself, how many times do you carry work over to the next day, or take work home? By doing things in a different order, planning effectively and become more efficient in dealing with daily tasks you can reduce stress and free up time for personal development and 'breathing space'. If you want Master Daily Planning and give yourself space to breathe and develop, join this Daily Planning: Strategies For Ultimate Success to get a flying through your day. Through the course, you will understand the importance and benefits of daily planning, how to tackle your time pirates. You will be able to undertake a gap analysis between current and desired planning state, You will learn strategies for dealing with meetings, how to deal with telephones, interruptions, and paper, understand the role of the to-do list, and more. Become more effective and efficient, do more in less time, reduce stress, free up time for development and be a super planner. What you'll learn understand the importance and benefits of daily planning download and use a 2-week challenge template undertake a gap analysis between current and desired planning state identify your time pirates understand how to tackle your time pirates appreciate why you put things off and the result learn strategies for dealing with meetings know how to deal with telephones, interruptions and paper learn the skills to achieve a 'zero inbox' understand the role of the to-do list choose how to tackle tasks when your time is the most 'valuable' know how to say 'no' and 'yes' undertake a critical reflective learning exercise Requirements you will need some way of writing down your observations/answers e.g. notebook or electronic device Introduction & getting started An Introduction to Daily Planning FREE 00:04:00 The 2 week challenge - video 00:02:00 Let's set the scene Mind the gap! 00:03:00 Thieves & Pirates A short introduction to this section 00:02:00 Managing time pirates 00:05:00 Do I procrastinate? ..... I'll have to think about that! Why Is Big Data Important? FREE 01:00:00 Let's tackle it NOW! 00:03:00 Not another meeting?! Marvellous Meetings 00:03:00 Interruptions, interruptions, interruptions ring, ring' 'do you have a minute' & the FAT attack 00:03:00 The holy grail The 'zero inbox' 00:05:00 PPPPP PPPPP introduction 00:03:00 Step by Step 00:03:00 The to-do-list To-Do-Lists 00:02:00 Prime & down time Prime & down time 00:02:00 Daily planning chart What a plan looks like and what goes where 00:02:00 Yes or No? just say 'no'! 00:04:00 'yes' 00:01:00 An action plan for success A 10 step plan for fulproof success 00:03:00 A daily planning visual metaphor - you don't want to skip this! I can't fit everything in....or can I 00:02:00 Summary Course Summary 00:02:00 Bonus Lecture Bonus Lecture 00:01:00 Course Certification

Picture this: A vast cloud realm, brimming with data, all ready to weave tales of insight and wisdom. Welcome aboard our 'Microsoft Azure Machine Learning' odyssey! This isn't just a course; it's a canvas where technology meets art. Unravel the mysteries of Azure Machine Learning Studio, dance with data modules, and play with predictions about incomes and the price tags of fancy cars. Ready for a whirlwind romance with data? Learning Outcomes Become best pals with Microsoft Azure Machine Learning Studio - it's cooler than it sounds! Play detective with a variety of puzzling machine learning modules. Predict tomorrow! Well, not literally, but we'll dabble in forecasting incomes and car prices. Revel in the drama of data as we churn stories from raw numbers. Flip through the fascinating pages of notebooks in Azure, a bibliophile's techy delight. Why choose this Microsoft Azure Machine Learning course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Microsoft Azure Machine Learning Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Microsoft Azure Machine Learning course for? Tech aficionados itching to ride the cloud wave. Curious data wizards eager to add Azure spells to their grimoire. Project champs on a quest for the perfect cloud platform. Code artists seeking to stitch machine learning into their digital tapestry. Future stars of tech, dreaming big and aiming higher. Career path Azure Machine Learning Maestro - £45,000 - £65,000 Data Alchemist - £50,000 - £72,000 Cloud Castle Architect - £70,000 - £92,000 Machine Learning Magician - £55,000 - £78,000 Storyteller of Stats - £60,000 - £85,000 Azure Artisan - £40,000 - £60,000 Prerequisites This Microsoft Azure Machine Learning does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Azure Machine Learning 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Azure Machine Learning Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration 00:22:00 Module 02: Various Modules in Machine Learning 00:13:00 Module 03: Prediction of Income (Automated Tutorial) 00:33:00 Module 04: Prediction of Automobile Price using Linear Regression Algorithm 00:59:00 Module 05: Dataset Processing and Analysis (Sample-1) 00:57:00 Module 06: Cross Validation for Regression (Sample-2) 00:28:00 Module 07: Clustering Group Iris data (Sample-3) 00:17:00 Module 08: Introduction on Notebook in Microsoft Azure Machine Learning Studio 00:18:00 Assignment Assignment - Microsoft Azure Machine Learning 00:00:00

Duration 2 Days 12 CPD hours This course is intended for Dieser Kurs richtet sich an Personen, die als Systemadministratoren, Informatiker, Netzwerktechniker oder Computeringenieure arbeiten und an alle, die mit Ubiquiti-Produkten bereits Erfahrung gesammelt haben. Overview Nach dem Training kennen Sie die wichtigsten WLAN-Konzepte und haben praktische Erfahrung bei der Installation und Administrierung von UniFi Controller, Access Point, Gateways und Switches gesammelt. Werden Sie zertifizierter Ubiquiti Enterprise Wireless Admin (UEWA). Der zweit„gige Kurs wurde von ubiquiti konzipiert, um Sie fr die Herausforderungen heutiger Enterprise Netzwerke vorzubereiten. Wlan Grundlagen Lizenzfreie Frequenzb„nder Regularien fr die inbetriebnahme WLAN Standards Zugriffsm'glichkeiten Netzwerk Hardware WLAN Planung Abdeckung, Frequenzen und Leistung Antennentechnologie m'gliche St'rungen im System Airtime, Kapazit„t und Features gemischte Netzwerke Inbetriebnahme Einmessen und Organisation Funkzellen und šberlappungen Verkabelung und PoE Leistungsmessung Basiskonfigurieren der Unifi Produkte Gruppen / Benutzer Layer 2 Adoptierung SSID, Sicherheit und VLANs Analyse Fortgeschrittenes Einbinden ber Layer 3 Controller in der Cloud Layer-3 Adoptierung Methoden (SSH, DNS, DHCP) Minimum RSSI Roaming Zugriffskontrolle G„ste WLANs Am zweiten Tag findet eine Prfung ber die erworbenen Kenntnisse statt. Die Kursunterlagen und die Online Prfung sind in englischer Sprache. Bitte bringen Sie zu dem Lehrgang ein Notebook mit Ethernet Anschluss, Win7 Pro oder h'her und Admin Rechten mit. Additional course details: Nexus Humans Ubiquiti Enterprise Wireless Admin (UEWA) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Ubiquiti Enterprise Wireless Admin (UEWA) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning for Predictive Maps in Python and Leaflet comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00

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