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Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

The demand for highly skilled educators has never been higher in the United Kingdom. To excel in the dynamic world of education, teachers need more than just subject knowledge – they require a holistic set of management skills to foster an enriching learning environment. That's where our Management Skills Bundle Course for Teachers comes into play!

Duration 3 Days 18 CPD hours This course is intended for Typical candidates for this course are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain how Aruba's wireless networking solutions meet customers' requirements Explain fundamental WLAN technologies, RF concepts, and 802.11 Standards Learn to configure the Mobility Master and Mobility Controller to control access to the Employee and Guest WLAN Control secure access to the WLAN using Aruba Firewall Policies and Roles Recognize and explain Radio Frequency Bands and channels, and the standards used to regulate them Describe the concept of radio frequency coverage and interference and successful implementation and diagnosis of WLAN systems Identify and differentiate antenna technology options to ensure optimal coverage in various deployment scenarios Describe RF power technology including, signal strength, how it is measured and why it is critical in designing wireless networks Learn to configure and optimize Aruba ARM and Client Match and Client Insight features Learn how to perform network monitoring functions and troubleshooting This course teaches the knowledge, skills and practical experience required to set up and configure a basic Aruba WLAN utilizing the OS 8.X architecture and features. Using lecture and labs, this course provides the technical understanding and hands-on experience of configuring a single Mobility Master with one controller and AP Aruba WLAN. Participants will learn how to use Aruba hardware and ArubaOS to install and build a complete, secure controller network with multiple SSIDs. This course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Associate (ACMA) certification exam. WLAN Fundamentals Describes the fundamentals of 802.11, RF frequencies and channels Explain RF Patterns and coverage including SNR Roaming Standards and QOS requirements Mobile First Architecture An introduction to Aruba Products including controller types and modes OS 8.X Architecture and features License types and distribution Mobility Master Mobility Controller Configuration Understanding Groups and Subgroups Different methods to join MC with MM Understanding Hierarchical Configuration Secure WLAN configuration Identifying WLAN requirements such as SSID name, encryption, authentication Explain AP groups structure and profiles Configuration of WLAN using the Mobility Master GUI AP Provisioning Describes the communication between AP and Mobility controller Explain the AP booting sequence and requirements Explores the APs controller discovery mechanisms Explains how to secure AP to controller communication using CPSec Describes AP provisioning and operations WLAN Security Describes the 802.11 discovery, authentication and association Explores the various authentication methods, 802.1x with WPA/WPA2, Mac auth Describes the authentication server communication Explains symmetric vs asymmetric Keys, encryption methods WIPS is described along with rogue discovery and protection Firewall Roles and Policies An introduction into Firewall Roles and policies Explains Aruba?s Identity based Firewall Configuration of Policies and Rules including aliases Explains how to assign Roles to users Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores OS 8.X Airmatch to calibrate the network How Client Match and ClientInsight match steers clients to better APs Guest Access Introduces Aruba?s solutions for Guest Access and the Captive portal process Configuration of secure guest access using the internal Captive portal The configuration of Captive portal using Clearpass and its benefits Creating a guest provisioning account Troubleshooting guest access Network Monitoring and Troubleshooting Using the MM dashboard to monitor and diagnose client, WLAN and AP issues Traffic analysis using APPrf with filtering capabilities A view of Airwaves capabilities for monitoring and diagnosing client, WLAN and AP issues Additional course details: Nexus Humans Aruba Mobility Fundamentals, Rev. 20.11 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 Aruba Mobility Fundamentals, Rev. 20.11 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.

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift -Enrol Now From a startup to big-name MNCs, all need Tax Accounting, Payroll & Wage Management for survival! These ultimately influence profitability and impact employees' experience of any organization. Furthermore, Tax Accounting, Payroll & Wage Management sector is continuously growing, and so is the need for experts in this field. Tax Accounting, Payroll & Wage Management play a crucial role, from ensuring statutory compliance to providing quantitative financial information. These ensure an organisation is abiding by law while maintaining a healthy work experience. The ISO rule and the growing importance of Tax Accounting, Payroll & Wage Management make it necessary for all employers and employees to be aware of them. This bundle has everything to make aware you of Tax Accounting, Payroll & Wage Management. Through this bundle, you will acquire knowledge about the tax and insurance system in the UK. Furthermore, you will gain proficiency in payroll management and financial analysis. Moreover, you will familiarise yourself with different laws. Additionally, you will acquire skills for efficient use of Microsoft Office essentials. This bundle is composed of 11 courses: Course 1: Level 3 Tax Accounting Course 2: Payroll Management - Diploma Course 3: Accounting and Bookkeeping Level 2 Course 4: Sage 50 Training Course 5: Wages & Benefits Course 6: Law and Contracts - Level 2 Course 7: Financial Analysis Course 8: Level 3 Xero Training Course 9: Level 2 Microsoft Office Essentials Course 10: GDPR Data Protection Level 5 Course 11: Time Management Throughout this 11-in-1 bundle, you will learn different aspects of Tax Accounting along with different methods for efficient Payroll and Wage Management, including- Level 3 Tax Accounting Familiarise with the tax system and administration in the UK Gain knowledge about management accounting and financial analysis Discover career as a tax accountant in the UK Payroll Management - Diploma Be informed about Payroll basics and pay elements Grasp the concept of pension scheme basics Build up skills in linking payroll to accounts Wages & Benefits Learn the basics of employment law and have knowledge about health & safety at work Have details about national minimum wage & national living wage Understand the concept of parental rights, sick pay, & pension scheme Law and Contracts - Level 2 Get a detailed introduction to UK Laws and privity of contract Know considerations and capacities of contact laws Find out laws and regulations for international trade Financial Analysis Receive an elaborated introduction to financial analysis Grasp a solid understanding of profitability and return ratio Comprehend the concept of liquidity ratio and operational analysis Accounting and Bookkeeping Level 2 Uncover the techniques for effective and efficient bookkeeping systems Learn the rope of the basics of bookkeeping Understand the concept of the functionality of bookkeeping fully Sage 50 Training Be acquainted with payroll basics and pension scheme basics Attain proficiency in quick SSP and editing employee records Discover how to reset payments and have knowledge about the year-end procedure Level 3 Xero Training Get an elaborated introduction to level 3 Xero training Acquire knowledge about invoices and sales along with fixed assets Obtain information about bills and purchases with VAT returns Level 2 Microsoft Office Essentials Be proficient in performing calculations in Microsoft Office Excel Attain expertise in inserting graphic objects in Word 2016 Gain competency in giving presentations using PowerPoint 2016 GDPR Data Protection Level 5 Be aware of the lawful basis for preparation Learn the nuts and bolts of rights and breaches Grasp a strong understanding of the responsibilities and obligations Time Management Learn to identify goals and work accordingly and know how to build your own toolbox Discover your personal working style to be more efficient Gain proficiency in establishing your action plan for better time management Enrol for this Tax Accounting, Payroll & Wage Management now to avoid any workplace hassle and avail yourself of many promising careers! What You Get Out Of Studying With Apex Learning? Lifetime access to this bundle materials Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative video modules taught by expert instructors Study the course from your computer, tablet or mobile device Curriculum: Course 1: Level 3 Tax Accounting Module 01: Tax System and Administration in the UK Module 02: Tax on Individuals Module 03: National Insurance Module 04: How to Submit a Self-Assessment Tax Return Module 05: Fundamentals of Income Tax Module 06: Payee, Payroll and Wages Module 07: Value Added Tax Module 08: Corporation Tax Module 09: Double Entry Accounting Module 10: Management Accounting and Financial Analysis Module 11: Career as a Tax Accountant in the UK Course 2: Payroll Management - Diploma Sage 50 Payroll for Beginners Module 1: Payroll Basics Module 2: Company Settings Module 3: Legislation Settings Module 4: Pension Scheme Basics Module 5: Pay Elements Module 6: The Processing Date Module 7: Adding Existing Employees Module 8: Adding New Employees Module 9: Payroll Processing Basics Module 10: Entering Payments Module 11: Pre-Update Reports Module 12: Updating Records Module 13: e-Submissions Basics Module 14: Process Payroll (November) Module 15: Employee Records and Reports Module 16: Editing Employee Records Module 17: Process Payroll (December) Module 18: Resetting Payments Module 19: Quick SSP Module 20: An Employee Leaves Module 21: Final Payroll Run Module 22: Reports and Historical Data Module 23: Year-End Procedures Sage 50 Payroll Intermediate Level Module 1: The Outline View and Criteria Module 2: Global Changes Module 3: Timesheets Module 4: Departments and Analysis Module 5: Holiday Schemes Module 6: Recording Holidays Module 7: Absence Reasons Module 8: Statutory Sick Pay Module 9: Statutory Maternity Pay Module 10: Student Loans Module 11: Company Cars Module 12: Workplace Pensions Module 13: Holiday Funds Module 14: Roll Back Module 15: Passwords and Access Rights Module 16: Options and Links Module 17: Linking Payroll to Accounts Course 3: Accounting and Bookkeeping Level 2 Introduction to the course Introduction to Bookkeeping Bookkeeping systems Basics of Bookkeeping The functionality of bookkeeping On a personal note Course 4: Sage 50 Training Module 1: Payroll Basics Module 2: Company Settings Module 3: Legislation Settings Module 4: Pension Scheme Basics Module 5: Pay Elements Module 6: The Processing Date Module 7: Adding Existing Employees Module 8: Adding New Employees Module 9: Payroll Processing Basics Module 10: Entering Payments Module 11: Pre-Update Reports Module 12: Updating Records Module 13: e-Submissions Basics Module 14: Process Payroll (November) Module 15: Employee Records and Reports Module 16: Editing Employee Records Module 17: Process Payroll (December) Module 18: Resetting Payments Module 19: Quick SSP Module 20: An Employee Leaves Module 21: Final Payroll Run Module 22: Reports and Historical Data Module 23: Year-End Procedures Sage 50 Payroll Advanced Diploma Module 1: The Outline View and Criteria Module 2: Global Changes Module 3: Timesheets Module 4: Departments and Analysis Module 5: Holiday Schemes Module 6: Recording Holidays Module 7: Absence Reasons Module 8: Statutory Sick Pay Module 9: Statutory Maternity Pay Module 10: Student Loans Module 11: Company Cars Module 12: Workplace Pensions Module 13: Holiday Funds Module 14: Roll Back Module 15: Passwords and Access Rights Module 16: Options and Links Module 17: Linking Payroll to Accounts Course 5: Wages & Benefits Basics of Employment Law National Minimum Wage & National Living Wage Parental Rights, Sick Pay, & Pension Scheme Health & Safety at Work Course 6: Law and Contracts - Level 2 Module 01: Introduction to UK Laws Module 02: Ministry of Justice Module 03: Agreements and Contractual Intention Module 04: Considerations and Capacities of Contact Laws Module 05: Terms within a Contract Module 06: Misinterpretations and Mistakes Module 07: Consumer Protection Module 08: Privity of Contract Module 09: Insurance Contract Laws Module 10: Contracts for Employees Module 11: Considerations in International Trade Contracts Module 12: Laws and Regulations for International Trade Module 13: Remedies for Any Contract Breach Course 7: Financial Analysis Section-1. Introduction Section-2. Profitability Section-3. Return Ratio Section-4. Liqudity Ratio Section-5.Operational Analysis Section-6. Detecting Manipulation Course 8: Level 3 Xero Training Introduction Getting Started Invoices and Sales Bills and Purchases Bank Accounts Products and Services Fixed Assets Payroll VAT Returns Course 9: Level 2 Microsoft Office Essentials Getting Started with Microsoft Office Excel 2016 Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks Word 2016 Getting Started with Word Formatting Text and Paragraphs Working More Efficiently Managing Lists Adding Tables Inserting Graphic Objects Controlling Page Appearance Preparing to Publish a Document Workbooks - Microsoft Word 2016 (Beginner) PowerPoint 2016 PowerPoint Interface Presentation Basics Formatting Inserting Options Working with Objects Table Charts Review and Presentatin Access 2016 Introduction to Access Modify Data Working with Queries Access Forms Working with Reports Course 10: GDPR Data Protection Level 5 Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations Course 11: Time Management Identifying Goals Effective Energy Distribution Working with Your Personal Style Building Your Toolbox Establishing Your Action Plan How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Tax Accounting, Payroll & Wage Management bundle is designed for those seeking to gain knowledge and skills about this crucial topic either to start a career in this industry or to get a promotion in their current career. Hence, this bundle is ideal for- Students Graduates Job Seekers Job Holders Entrepreneurs Career path While broadening your knowledge and strengthening your skills, this Tax Accounting, Payroll & Wage Management bundle will pave out many career opportunities, including- Tax Accountant Financial Manager Financial Analyst HR Manager Bookkeeper Account Officer For these career opportunities, the average salary generally varies from £15,000 to £ 50,000 a year. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Level 3 Tax Accounting) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost

11-in-1 Premium Bundle | CPD QS Certified | 115 CPD Points | Gifts: Hardcopy + PDF Certificate + SID - Worth £180 | Lifetime Access | Enrol Now

This Course at a Glance Identify the elements of the scoring system used to determine the food hygiene rating Understand how the food hygiene rating system is structured with the distribution of scores between hygiene, structure and confidence Understand what each score means and indicates about the food hygiene standard Define the scoring criteria and understand how the decision on the final scorecard is assessed Understand the process relating to the appeal of scorecards if you are unsatisfied with your rating Understand how to incorporate Safer Food, Better Business (SFBB) to ensure your business complies with the legal obligations Identify the types of E. coli bacteria and know how to control and prevent E. coli cross-contamination in food by following proper food hygiene and safety Acquire knowledge about the underpinning food hygiene principles that ensure food hygiene and safety Learn to implement effective hygiene and cleaning structure for your business that prevents cross-contamination Achieving 5*( 5 star) Food Hygiene Rating | Online Course Overview Maintaining a proper food hygiene regimen is a legal duty enumerated by several UK and EU laws and legislations. A higher food hygiene rating exhibits your concern for the health and well-being of your consumers and gives them an incentive that your business complies with a certain level of standard in ensuring the quality of food. The higher your rating, the more trust your consumers put in your business. The NFU Mutual Food Hygiene Ratings Report found that 44% of people would turn away from a food establishment if it displayed a rating of 4 or less. Therefore, maintaining a good rating is an important aspect of protecting both your business and brand identity. This course complies with the latest UK and EU laws, rules and regulations to ensure that you can comply with the provisions while maintaining food hygiene and safety practices that satisfy your role. This Achieving 5*( 5 star) food hygiene rating | Online Course is designed to give you a concise insight into the process of the National Food Hygiene Rating Scheme. It solely intends to provide you with an overview of the scoring criteria and how the scores are evaluated by the inspectors. It also gives a clear view of the appeals process, the Safer Food Better Business management system and E-Coli and provides a well-rounded procedure for maintaining the premises with proper hygiene structure and cleaning. A 5-star rating will always be hard to achieve for your business if your employees are not trained properly on how to maintain proper food hygiene and safety. Moreover, a food business with a comparatively low rating is more prone to being frequently examined or inspected. Therefore, training your employees on achieving a 5-star rating will ensure they are equipped with the knowledge of maintaining proper food hygiene and safety through the appropriate use of chemicals, pesticides and other safety procedures. Upon successful completion of this Achieving 5*( 5 star) food hygiene rating | Online Course, you will be able to design and assess sustainable hygiene and cleaning structure for your business that will boost your food hygiene rating. Who should take this course? This Achieving 5*( 5 star) food hygiene rating | Online Course is suitable for anyone associated with the field of food manufacturing, catering or retail industry working in the capacity of: Supervisor Manager Waiter Barista Chef Whether you are looking to gain extensive knowledge about maintaining food hygiene and safety to achieve a 5-star rating for your business as the owner or an employee looking to gain comprehensive knowledge on achieving a high standard of food hygiene in the workplace, this Achieving 5*( 5 star) food hygiene rating | Online Course will set you up with the appropriate credentials to comply with a certain level of food hygiene and safety standards ascertained by the Food Standards Agency. Entry Requirements There are no academic entry requirements for this Achieving 5*( 5 star) Food Hygiene Rating | Online Course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Achieving 5*( 5 star) food hygiene rating | Online Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of each module, learners must answer MCQs to step into the next module. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 75%. Course Curriculum Module 1: Food Hygiene Ratings - An Introduction Module 2: Scoring Criteria Module 3: Appeals Module 4: Safer Food Better Business (SFBB) Module 5: E.Coli Module 6: Good Hygiene Structure and Cleaning Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Plumbing: Plumbing Course Online Plumbers are skilled professionals who install and maintain piping and water systems in residential and commercial buildings. Do you want to start a plumbing career or do you want to advance your plumbing skills? Then our Plumbing: Plumbing Course will help you to learn the fundamental skills and knowledge required to advance your career as a professional plumber. This Plumbing: Plumbing Course will provide you with a solid foundation to become a confident plumber and develop more advanced skills, whether you are self-taught and want to fill in the gaps for improved efficiency and productivity. Now is the time to enrol in this Plumbing: Plumbing Course, learn from the best in the field, and stand out from all other applicants and employees to develop your career in this Plumbing: Plumbing Course by demonstrating exceptional qualities! Courses you will GET: Course 01: Plumber Plumbing Training Course 02: First Aid at Work Course 03: Level 5 Health and Safety at Work [ Note: Free PDF certificate as soon as completing the Plumbing: Plumbing Course] lumbing: Plumbing Course Online Curriculum of Plumbing: Plumbing Course Module 01: Introduction to Plumbing Module 02: Plumbing Terminologies Module 03: Water supply Module 04: Materials/Equipment Assessment Method of Plumbing: Plumbing Course After completing Plumbing: Plumbing Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Plumbing: Plumbing Course After completing the Plumbing: Plumbing Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Plumbing: Plumbing Course Online This comprehensive Plumbing: Plumbing Course is ideal for anyone looking to advance their career or improve their job prospects in the plumbing industry. This Plumbing: Plumbing Course is perfect for those who want to excel at their jobs. Requirements Plumbing: Plumbing Course Online To enrol in this Plumbing: Plumbing Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Plumbing: Plumbing Course. Be energetic and self-motivated to complete our Plumbing: Plumbing Course. Basic computer Skill is required to complete our Plumbing: Plumbing Course. If you want to enrol in our Plumbing: Plumbing Course, you must be at least 15 years old. Career path Plumbing: Plumbing Course Online The Plumbing: Plumbing Course is designed to help you get your dream job or even the promotion you've always wanted. With the assistance and guidance of our Plumbing: Plumbing Course, you will learn the necessary skills and knowledge to excel in your professional life.

Description: If you are working in company related to wireless technology, the course is the best solution for you. The course illustrates the fundamentals and essentials functions of wireless network technology and helps you to embrace the system efficiently. The course is sectioned into two parts - one is network administration, and another one is about network security. Both the sections help you to achieve a strong command over the technology. The basic concept of Radio Frequency (RF), WLAN security system, Legal system, Encryption Cipers and methods will be discussed in the Wireless Security Professional section. On the other hand, you gain a crystal clear knowledge about Wi-Fi access, MAC, WLAN, troubleshooting in the Network Administration part. The purpose of the bundled course is to help you to accustom with the troubleshooting process and network configuration process of Wireless technology. The course helps you to handle WLAN network securely. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Certified Wireless Network Administrator (CWNA) - Complete Video Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Certified Wireless Network Administrator (CWNA) - Complete Video Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Overview of Wireless Communications Overview of Wireless Communications FREE 00:23:00 Communication Fundamentals 00:15:00 Fundamentals of RF Fundamentals of RF 00:07:00 Characteristics of RF 00:17:00 RF Behaviors 00:17:00 Components and Measurements of RF Components and Measurements of RF 00:19:00 dB Mathematics 00:18:00 Math Examples (eNotes) 00:20:00 Noise Floor 00:07:00 RF Signal and Antenna Concepts RF Signal and Antenna Concepts 00:13:00 Antenna Types 00:15:00 Beamforming 00:09:00 IEEE 802.11 IEEE 802.11 00:15:00 802.11i 00:10:00 Spread Spectrum Technologies Course Overview Direct Sequence Spread Spectrum (Part 1) 00:22:00 Direct Sequence Spread Spectrum (Part 2) 00:21:00 WLAN Topologies WLAN Topologies 00:10:00 Distribution Service 00:08:00 Mesh BSS 00:15:00 Wi-Fi Access Wi-Fi Access 00:14:00 Interframe Space (IFS) 00:13:00 MAC Architecture MAC Architecture 00:18:00 Beacon Frames 00:11:00 WLAN Architecture WLAN Architecture 00:17:00 WLAN Controller 00:11:00 WLAN Deployment WLAN Deployment 00:10:00 Network Extension to Remote Areas 00:13:00 Troubleshooting Troubleshooting 00:18:00 802.11 Coverage Considerations 00:17:00 Capacity vs. Coverage 00:19:00 Security Security 00:22:00 Robust Security 00:24:00 Types of Wireless Attacks Types of Wireless Attacks 00:30:00 Intrusion Monitoring 00:08:00 Fundamentals of Site Surveys Fundamentals of Site Surveys 00:16:00 Site Survey Tools Site Survey Tools 00:05:00 Site Survey 00:15:00 PoE PoE 00:09:00 Midspan 00:08:00 High Throughput (HT) High Throughput (HT) 00:11:00 Spatial Multiplexing (SM) 00:12:00 Very High Throughput (HT) Very High Throughput (VHT) 00:18:00 BYOD BYOD 00:19:00 Over the Air Management 00:10:00 WLAN Security Overview WLAN Security Overview and Data Privacy 00:58:00 Networking Basics 00:04:00 Web GUI Introduction 00:05:00 Security Options 00:03:00 Legacy Security Legacy Security 00:32:00 VPNs 00:21:00 Security Association 00:09:00 MAC Spoofing 00:07:00 Encryption Ciphers and Methods Encryption Ciphers and Methods 00:19:00 TKIP 00:26:00 CCMP 00:20:00 Encryption Examples 00:06:00 802.11 Authentication Methods 802.11 Authentication Methods 00:26:00 802.1X 00:20:00 EAP 00:25:00 Certified Authority Server Credentials 00:06:00 Dynamic Encryption Key Generation Dynamic Encryption Key Generation 00:21:00 Authentication and Key Management 00:13:00 RSNA Key Hierarchy 00:12:00 EAP 00:05:00 Information Elements 00:06:00 SOHO 802.11 Security SOHO 802.11 Security 00:26:00 Cracking Hashes 00:09:00 Cracking Hashes 00:09:00 Fast Secure Roaming Fast Secure Roaming 00:24:00 PMKSA 00:29:00 FT Key Hierarchy (e-notes) 00:30:00 802.11K-2008 00:28:00 Wireless Security Risks Wireless Security Risks 00:22:00 Authentication Attacks 00:20:00 Rogue Devices 00:04:00 Public Hotspots 00:06:00 Wireless LAN Security Auditing Wireless LAN Security Auditing 00:28:00 Wireless Security Monitoring Wireless Security Monitoring 00:21:00 Device Tracking 00:17:00 VPNs, Remote Access and Guest Access Services VPNs, Remote Access and Guest Access Services 00:23:00 Remote Access 00:14:00 WLAN Security Infrastructure WLAN Security Infrastructure 00:37:00 Management Protocols 00:23:00 Other RADIUS Solutions 00:15:00 Wireless Security Policies Wireless Security Policies 00:17:00 Other Policies 00:14:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Logistics Management at QLS Level 5 Course Overview The "Logistics Management at QLS Level 5" course offers an in-depth exploration of the logistics industry, focusing on key aspects such as supply chain management, transport planning, and inventory control. Learners will gain a solid understanding of how logistics fits within the broader business context and its impact on organisational efficiency. The course is designed to provide both theoretical knowledge and strategic insights, ensuring that learners are equipped to optimise logistics processes in a variety of settings. Upon completion, learners will have the tools to contribute effectively to logistics and supply chain roles within diverse industries. Course Description This course delves into the complexities of logistics management, covering essential topics such as sourcing, purchasing, and procurement, as well as supplier relationship management. Students will also explore transport management, warehousing principles, and inventory planning, with a strong focus on enhancing operational efficiency. By addressing both the tactical and strategic components of logistics, learners will develop essential skills in negotiation, customer service, and distribution channels. The course is structured to provide a comprehensive understanding of logistics management within the context of modern business operations, preparing learners for roles that demand expertise in managing logistics and supply chain systems. Logistics Management at QLS Level 5 Curriculum Module 01: Introduction to Logistic Management Module 02: Planning Framework for Logistics Module 03: Supply Chain Management Module 04: Logistics Management and Organisation Module 05: Sourcing, Purchasing, and Procurement Module 06: Channels of Distribution Module 07: Supplier Relationship Management Module 08: Inventory Planning and Management Module 09: Principles of Warehousing Module 10: Transport Management Module 11: Negotiation Techniques Module 12: Customer Service and Logistics (See full curriculum) Who is this course for? Individuals seeking to advance in logistics or supply chain management. Professionals aiming to enhance their expertise in operational efficiency. Beginners with an interest in logistics and supply chain management. Those aspiring to take on leadership roles in logistics or procurement. Career Path Logistics Manager Supply Chain Coordinator Transport Planner Warehouse Operations Supervisor Procurement Manager Distribution Manager Inventory Control Specialist

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. 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 00:04:00 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 Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 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 00:06:00 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 - Data Science & Machine Learning with Python 00:00:00