Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00
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PHP and MySQL Training 2022: Build 5 Real World Projects Course Overview: "PHP and MySQL Training 2022: Build 5 Real World Projects" offers an in-depth exploration of web development using PHP and MySQL, empowering learners with the skills to create dynamic, database-driven websites. Through five real-world projects, learners will gain a practical understanding of PHP’s functionality, MySQL databases, and how to combine the two to build effective web applications. By the end of the course, participants will have the knowledge to develop robust and scalable systems, such as login and registration systems, CRUD apps, and email-sending features. This course equips learners with essential skills to launch their careers in web development or enhance their existing expertise. Course Description: In this comprehensive training course, learners will delve into core concepts of PHP and MySQL, with a focus on practical application. The course covers key areas such as installation and configuration of PHP, creating user authentication systems, developing CRUD applications, building a URL shortening service, and sending emails with PHP. Each module guides learners through building fully functional projects that address common real-world needs. Along the way, participants will enhance their coding proficiency, understand the importance of secure web applications, and learn the techniques required to build dynamic websites. By the end of this course, learners will be proficient in using PHP and MySQL to develop and manage complex web systems. PHP and MySQL Training 2022: Build 5 Real World Projects Curriculum: Module 01: Introduction Module 02: Installation Module 03: First Project: Login and Registration System Module 04: Second Project: Full Crud App Module 05: Third Project: URL Shortening Service Module 06: Fourth Project: PHP Gallery Module 07: Fifth Project: Sending Emails with PHP (See full curriculum) Who is this course for? Individuals seeking to build a strong foundation in web development. Professionals aiming to expand their knowledge of PHP and MySQL. Beginners with an interest in coding and web development. Aspiring web developers looking to work on real-world projects. Career Path Web Developer PHP Developer Backend Developer Database Administrator Full Stack Developer
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The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The MATLAB Simulink for Electrical Power Engineering Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the MATLAB Simulink for Electrical Power Engineering, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Unit 1- Applications on Matrices in MATLAB Module 1- Solving One Non Linear Equation in MATLAB Using Fzero Function 00:15:00 Module 2-Example 1 on Solving Multiple Non Linear Equations in MATLAB Using Fsolve Function 00:15:00 Module 3- Example 2 on Solving Multiple Non Linear Equations in Matlab Using Fsolve 00:13:00 Module 4-Application Multi Level Inverter Part 1 00:25:00 Module 5- Application Multi Level Inverter Part 2 00:05:00 Unit 2-Power Electronics Simulations Using Simulink in MATLAB Module 1-Introduction to MATLAB Simulations Using Simulink 00:04:00 Module 2-Half Wave Uncontrolled Rectifier with R Load Principle of Operation 00:21:00 Module 3- Half Wave Controlled Rectifier R Load Principle of Operation 00:05:00 Module 4-Simulation of Half Wave Controlled Rectifier Using Simulink In Matlab 00:26:00 Module 5- Principle of Operation of Fully Controlled Bridge Rectifier Part 1 00:06:00 Module 6- Principle of Operation of Fully Controlled Bridge Rectifier Part 2 00:06:00 Module 7-Simulation of Bridge Controlled Rectifier 00:16:00 Module 8-AC Chopper with R Load Principle of Operation 00:14:00 Module 9- Simulation of AC Chopper with R and RL Loads in MATLAB 00:11:00 Module 10- Buck Regulator Principle of Operation Part 1 00:16:00 Module 11-Buck Regulator Principle of Operation Part 2 00:17:00 Module 12-Simulation of Buck Regulator in MATLAB 00:14:00 Module 13-Boost Regulator Principle of Operation 00:23:00 Module 14- Simulation of Boost Regulator in MATLAB 00:12:00 Module 15-Buck-Boost Regulator Principle of Operation 00:17:00 Module 16- Simulation of Buck-Boost Regulator 00:09:00 Module 17- Single Phase Half Bridge R-Load 00:15:00 Module 18- Single Phase Half Bridge RL-Load 00:08:00 Module 19-Simulation of Single Phase Half Bridge Inverter 00:18:00 Module 20-Single Phase Bridge Inverter R-Load 00:06:00 Module 21-Single Phase Bridge Inverter RL-Load 00:07:00 Module 22-Simulation of Single Phase Bridge Inverter 00:10:00 Module 23-Three Phase Inverters and Obtaining The Line Voltages 00:15:00 Module 24-Three Phase Inverters and Obtaining The Phase Voltages 00:17:00 Module 25-Simulation of Three Phase Inverter 00:17:00 Module 26-Simulation of Charging and Discharging Capacitor Using Matlab 00:10:00 Unit 3- Solar Energy Simulation Using Simulink in MATLAB Module 1-Separately Excited DC Machine 00:21:00 Module 2-DC Motor Modelling without Load Using Simulink in MATLAB 00:25:00 Module 3-DC Motor Modelling with Load Using Simulink in MALTAB 00:23:00 Module 4-DC Motor Block Simulation Using Power Library in MATLAB 00:16:00 Unit 4- DC Motor Simulation Using Simulink in MATLAB Module 1-Construction and Principle of Operation of Synchronous Generator 00:29:00 Module 2-Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine 00:29:00 Module 3-Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine 00:39:00 Module 4-Simulation of Synchronous Machine Connected to Small Power System 00:38:00 Unit 5- Induction Motor Simulation Using Simulink in MATLAB 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- Simulation of Induction Motor or Asynchronous Motor Using Simulink 00:33:00 Unit 6- Synchronous Generator Simulation in Simulink of MATLAB Module 1- Importing Data from PSCAD Program for Fault Location Detection to MATLAB Program 00:37:00 Unit 7- Power System Simulations Module 1-How to Implement PID Controller in Simulink of MATLAB 00:14:00 Module 2-Tuning a PID Controller In MATLAB Simulink 00:17:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
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Join us and pave the way for a successful career in accountancy! ð Why Choose ACCA Accountancy Course? ð Comprehensive Curriculum: Our ACCA Accountancy course covers all the essential topics and principles of accounting, providing you with a solid foundation to build upon. ð©âð¼ Expert Instruction: Learn from seasoned accounting professionals who bring years of industry experience and expertise to the classroom, ensuring that you receive top-notch instruction and guidance. ð¼ Practical Applications: Gain hands-on experience through real-world case studies, practical exercises, and simulations, allowing you to apply theoretical knowledge to real-life scenarios. ð Career Advancement: Expand your career opportunities and open doors to exciting roles in finance, auditing, taxation, and more with a recognized ACCA qualification. ð Global Recognition: ACCA is a globally recognized qualification, respected by employers worldwide, making it the ideal choice for those looking to pursue international career opportunities. ð Who is this for? ð Recent Graduates: Kickstart your career in accounting with a solid foundation provided by our ACCA Accountancy course. ð¨âð¼ Working Professionals: Enhance your expertise and advance your career in finance with a recognized ACCA qualification. ð©âð» Career Switchers: Transition into a rewarding career in accounting and finance with the comprehensive knowledge and skills gained from our ACCA Accountancy course. ð Career Path ð¹ Accountant: Prepare financial statements, analyze financial data, and provide valuable insights to businesses and organizations as an accountant. ð¹ Auditor: Conduct audits, assess financial records, and ensure compliance with regulations as an auditor in public practice or industry. ð¹ Tax Consultant: Provide tax planning and advisory services to individuals and businesses, helping them optimize their tax strategies and minimize liabilities. ð¹ Financial Analyst: Analyze financial data, evaluate investment opportunities, and provide recommendations to investors and stakeholders as a financial analyst. ð¹ Management Accountant: Work closely with management teams to analyze financial performance, develop budgets, and support strategic decision-making as a management accountant. ð¹ Forensic Accountant: Investigate financial fraud, analyze financial records, and provide expert testimony in legal proceedings as a forensic accountant. ð¡ FAQs (Frequently Asked Questions) ð¹ Q: Is this course suitable for beginners? 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A: Yes, our ACCA Accountancy course is available in both online and in-person formats, providing you with the flexibility to choose the learning mode that best suits your schedule and preferences. ð¹ Q: Will this course help me advance my career in accounting? A: Absolutely! Our ACCA Accountancy course is designed to equip you with the knowledge and skills needed to excel in the field of accounting and finance. Whether you're looking to kickstart your career, enhance your expertise, or switch to a new role, our course will help you achieve your career goals. ð¹ Q: Is ACCA a globally recognized qualification? A: Yes, ACCA (Association of Chartered Certified Accountants) is a globally recognized qualification, respected by employers worldwide. Holding an ACCA qualification opens doors to exciting career opportunities in finance, auditing, taxation, and more, both locally and internationally. ð¹ Q: What support do you provide to students during the course? 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Your journey to a successful accounting career begins here! ððð Course Curriculum Module 1 Introduction to Financial Accounting Introduction to Financial Accounting 00:00 Module 2 Double-Entry Bookkeeping and Recording Transactions Double-Entry Bookkeeping and Recording Transactions 00:00 Module 3 Trial Balance and Financial Statements Preparation Trial Balance and Financial Statements Preparation 00:00 Module 4 Financial Ratio Analysis and Interpretation Financial Ratio Analysis and Interpretation 00:00 Module 5 Ethical Considerations in Accounting Ethical Considerations in Accounting 00:00 Module 6 Financial Reporting Standards and International Convergence Financial Reporting Standards and International Convergence 00:00
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Participants will have access to comprehensive learning materials, including video lectures, reading materials, practical exercises, and quizzes. Additionally, interactive elements such as discussion forums and case studies are incorporated to facilitate engagement and application of knowledge. Learners can progress at their own pace, with flexibility to accommodate individual schedules and learning preferences. Q5: Is there any prerequisite for enrolling in this course? A5: No specific prerequisites are required for enrollment in the Admin, Secretarial & PA Online Course. This program is designed to cater to individuals with varying levels of experience and educational backgrounds. Whether you're a beginner seeking to enter the field of administration or an experienced professional looking to refine your skills, this course offers valuable insights and practical knowledge to support your career goals. Course Curriculum Module 1-Overview for the New Administrative Assistant Overview for the New Administrative Assistant 00:00 Module 2-Daily Routine Daily Routine 00:00 Module 3-Telephone Usage Telephone Usage 00:00 Module 4-Meetings Meetings 00:00 Module 5-Keeping Accurate Records Keeping Accurate Records 00:00 Module 6- Office Equipment Office Equipment 00:00