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Electrical Engineering - Electrical Machines Complete Training Overview Are you looking to begin your electrical machines career or want to develop more advanced skills in electrical machines? Then this electrical engineering - electrical machines complete online training course will set you up with a solid foundation to become a confident electrical engineer and help you to develop your expertise in electrical machines. This electrical engineering - electrical machines complete online training course is accredited by the CPD UK & IPHM. 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. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this electrical engineering - electrical machines complete online training course will set you up with a solid foundation to become a confident electrical engineer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a electrical engineer. The electrical engineering - electrical machines complete online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a electrical engineer. This comprehensive electrical engineering - electrical machines complete online training course is the perfect way to kickstart your career in the field of electrical machines. This electrical engineering - electrical machines complete online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a electrical engineer or want to learn more skills on electrical machines but unsure of where to start, then this electrical engineering - electrical machines complete online training course will set you up with a solid foundation to become a confident electrical engineer and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This electrical engineering - electrical machines complete online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive electrical engineering - electrical machines complete online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of electrical machines. Entry Requirements There are no academic entry requirements for this electrical engineering - electrical machines complete online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This electrical engineering - electrical machines complete online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Course Content Introduction to Electric Machines Types of Electric Machines and Principle of Electricity Generation DC Machines Importance and Construction of DC Machines Armature Winding and EMF Equation Solved Example 1 Solved Example 2 Solved Example 3 Solved Example 4 Shunt and Series DC Machines Solved Example 1 on Separately Excited DC Machine Solved Example 2 on Separately Excited DC Machine Solved Example 3 on Shunt Generator Solved Example 4 on Shunt Generator Solved Example 5 on Series DC Generator Types and Applications of Compound DC Motors Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor Torque-Speed Characteristics of Series DC Motor Solved Example 1 on Speed Control Solved Example 2 on Speed Control Starting of DC Machine Armature Reaction in DC Machines Losses in DC Machines Construction of Transformer Magnetic Circuit Inside Transformer Windings of Transformer Why are Windings Made of Copper Why are Windings Made of Copper Insulating Material and Transformer Oil Conservator of Transformer Breather of Transformer Bushings of Transformer Tap Changer of Transformer Cooling Tubes of Transformer Buchholz Relay of Transformer Explosion Vent Methods of Cooling Types of Transformers Power Transformer and Distribution Transformer Single Phase Core Type Transformer Single Phase Shell Type Transformer Three Phase Core Type Transformer Three Phase Shell Type Transformer Comparison between Shell and Core CSA Comparison between Shell and Core Type Notes Video Explaining The Components in 3D and Real Life Fundamentals of Magnetic Circuits for Electrical Engineering Magnetic Circuit and Important Definitions Linear and Non Linear Materials Flux Linkage and Reluctance Analogy between Electric and Magnetic Circuits Fringing Effect Example 1 Magnetic Circuits Example 2 Example 3 Application on Magnetic Circuit - Transformers Theoretical Part on Transformers Introduction to Transformers Construction of Transformer Theory of Operation Ideal Transformer Non Ideal Transformer Effect of Loading on Transformer Transformer Regulation Transformer Losses Transformer Efficiency Transformer Rating Question 1 Question 2 Question 3 Example 1 Voltage Relation of Transformer Transformer Exact Equivalent Circuit Concept of Refereeing Approximate Equivalent Circuit Synchronous Machines Construction and Principle of Operation of Synchronous Generator rinciple of Operation of Synchronous Motor Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine Solved Example 1 on Non Salient Machine Solved Example 2 on Non Salient Machine Solved Example 3 on Non Salient Machine Solved Example 4 on Non Salient Machine lved Example 5 on Non Salient Machine Solved Example 6 on Non Salient Machine Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine Solved Example 1 on Salient Machine Solved Example 2 on Salient Machine Solved Example 3 on Salient Machine Parallel Operation of Two Generators Synchronization of Machine with Grid Induction Machines Construction and Theory of Operation of Induction Machines Equivalent Circuit and Power Flow in Induction Motor Torque-Speed Characteristics of Induction Motor Solved Example 1 on Induction Motor Solved Example 2 on Induction Motor Solved Example 3 on Induction Motor Solved Example 4 on Induction Motor Solved Example 5 on Induction Motor Methods of Speed Control of Induction Motor Methods of Starting of Induction Motor Solved Example on Motor Starter Self Excited Induction Generator 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. Certificate of Achievement 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.  

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about MATLAB Simulink Understand the core competencies and principles of MATLAB Simulink Explore the various areas of MATLAB Simulink Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert MATLAB programmer MATLAB Simulink Training Ultimate Bundle Course Master the skills you need to propel your career forward in MATLAB Simulink. This course will equip you with the essential knowledge and skillset that will make you a confident MATLAB programmer and take your career to the next level. This comprehensive ultimate MATLAB Simulink course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this ultimate MATLAB Simulink course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective MATLAB Simulink practice and equip you with the essential skills, confidence and competence to assist you in the MATLAB Simulink industry. You'll gain a solid understanding of the core competencies required to drive a successful career in MATLAB Simulink. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for MATLAB programmer or for people who are aspiring to specialise in MATLAB Simulink. Enrol in this ultimate MATLAB Simulink course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive ultimate MATLAB Simulink course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this MATLAB Simulink can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This ultimate MATLAB Simulink course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This ultimate MATLAB Simulink course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This ultimate MATLAB Simulink course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation 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. Course Curriculum Applications on Matrices in MATLAB Solving One Non Linear Equation in MATLAB Using Fzero Function 00:15:00 Example 1 on Solving Multiple Non Linear Equations in MATLAB Using Fsolve 00:14:00 Example 2 on Solving Multiple Non Linear Equations in Matlab Using Fsolve 00:12:00 Application Multi Level Inverter Part 1 00:24:00 Application Multi Level Inverter Part 2 00:04:00 Power Electronics Simulations Using Simulink in MATLAB Introduction to MATLAB Simulations Using Simulink 00:03:00 Half Wave Uncontrolled Rectifier Principle of Operation 00:21:00 Half Wave Controlled Rectifier Principle of Operation 00:04:00 Simulation of Half Wave Controlled Rectifier In MATLAB 00:25:00 Simulation of Bridge Controlled Rectifier in MATLAB 00:16:00 AC Chopper with R Load Principle of Operation 00:14:00 Simulation of AC Chopper with R and RL Loads in MATLAB 00:10:00 Buck Regulator Principle of Operation Part 1 00:16:00 Buck Regulator Principle of Operation Part 2 00:16:00 Simulation of Buck Regulator in MATLAB 00:14:00 Boost Regulator Principle of Operation 00:23:00 Simulation of Boost Regulator in MATLAB 00:12:00 Buck-Boost Regulator Principle of Operation 00:17:00 Simulation of Buck-Boost Regulator in MATLAB 00:09:00 Single Phase Half Bridge Inverter Principle of Operation 00:15:00 Simulation of Single Phase Half Bridge Inverter in MATLAB 00:17:00 Single Phase Bridge Principle of Operation 00:05:00 Simulation of Single Phase Bridge Inverter in MATLAB 00:10:00 Three Phase Inverter Obtaining The Line Voltage 00:14:00 Three Phase Inverter Obtaining The Phase Voltage 00:17:00 Simulation of Three Phase Inverter in MATLAB 00:17:00 Simulation of Charging and Discharging Capacitor Using MATLAB 00:10:00 Solar Energy Simulation Using Simulink in MATLAB and ETAP Simulation of PV Cell In MATLAB and Obtaining V-I Characteristics 00:28:00 Get a Complete Grid-Connected PV System For Free 00:25:00 Simulation of PV System in ETAP 00:24:00 DC Motor Simulation Using Simulink in MATLAB Separately Excited DC Motor Principle of Operation 00:20:00 DC Motor Modelling without Load Using Simulink in MATLAB 00:24:00 DC Motor Modelling with Load Using Simulink in MALTAB 00:23:00 DC Motor Block Simulation Using Power Library in MATLAB 00:16:00 Induction Motor Simulation Using Simulink in MATLAB Construction and Theory of Operation of Induction Machines 00:27:00 Equivalent Circuit and Power Flow in Induction Motor 00:23:00 Torque-Speed Characteristics of Induction Motor 00:19:00 Simulation of Induction Motor or Asynchronous Motor Using Simulink 00:33:00 Synchronous Generator Simulation in Simulink of MATLAB Construction and Principle of Operation of Synchronous Generator 00:33:00 Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine 00:29:00 Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine 00:38:00 Simulation of Synchronous Machine Connected to Small Power System 00:37:00 Power System Simulations Importing Data from PSCAD Program for Fault Location Detection to MATLAB Program 00:37:00 PID Controller in MATLAB How to Implement PID Controller in Simulink of MATLAB 00:14:00 Tuning a PID Controller In MATLAB Simulink 00:17:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Students who complete the PV351 workshop will be able to: Determine use and analyze results from various test tools used during commissioning, performance evaluation, operations and maintenance, and troubleshooting. Define the theory, procedures, and processes behind insulation resistance testing, IV curve tracing, infrared cameras and thermal imaging, performance evaluation, and troubleshooting Demonstrate proper set-up, use, and function of PV test tools including: IV curve tracers, insulation resistance testers, and thermal cameras Evaluate the performance of working systems using correct and complete field procedures Troubleshoot and locate common PV array and system faults using appropriate methodologies and testing tools

Enhance your Excel skills with our comprehensive course covering 50 essential tips and techniques. Perfect for beginners and professionals alike, this course offers CPD accreditation and practical insights to boost your career prospects.

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Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) 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.

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

In today's fast-paced and competitive world, staying ahead requires constant growth and upskilling. Welcome to Electrical Machines for Electrical Engineering, an empowering journey designed to equip you with the essential knowledge and skills in Electrical Machines for Electrical Engineering to thrive in your professional endeavours. This comprehensive Electrical Machines for Electrical Engineeringcourse combines theoretical concepts with essential applications, providing you with a well-rounded understanding of the topic. Whether you're a seasoned professional seeking to enhance your expertise or a newcomer eager to embark on a new career path, this courseoffers the tools and insights necessary to unlock your true potential. This Electrical Machines for Electrical Engineering course holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education, but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Enrol in Electrical Machines for Electrical Engineering today and embark on a transformative journey that will set you up for success in the dynamic and evolving world of Electrical Machines for Electrical Engineering. Unleash your potential and take the first step towards a rewarding and fulfilling career! Learning Outcomes By the end of this Electrical Machines for Electrical Engineering course, you will: Gain a deep understanding of the fundamental principles and theories in Electrical Machines for Electrical Engineering. Acquire the ability to analyse and solve complex problems related to the topic critically. Enhance your communication and teamwork skills, which are essential for collaborating effectively in professional settings. Apply the learned concepts in Electrical Machines for Electrical Engineeringto drive innovation and make strategic decisions within your field. Curriculum of Electrical Machines for Electrical Engineering: Unit 1: Introduction to Electric Machines Module 1- Introduction to Electric Machines Module 2- Types of Electric Machines and Principle of Electrical Generation Unit 2: DC Machines Module 1- Importance and Construction of DC Machines Module 2- Armature Winding and EMF Equation Module 3-Solved Example 1 Module 4-Solved Example 2 Module 5-Solved Example 3 Module 6-Solved Example 4 Module 7-Separately Excited DC Machine Module 8-Shunt and Series DC Machines Module 9-Solved Example 1 on Separately Excited DC Machine Module 10-Solved Example 2 on Separately Excited DC Machine Module 11-Solved Example 3 on Shunt Generator Module 12-Solved Example 4 on Shunt Generator Module 13-Solved Example 5 on Series DC Generator Module 14-Types and Applications of Compound DC Motors Module 15- Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor Module 16- Torque-Speed Characteristics of Series DC Motor Module 17-Solved Example 1 on Speed Control Module 18-Solved Example 2 on Speed Control Module 19- Starting of DC Machine Module 20- Armature Reaction in DC Machines Module 21-Losses in DC Machines Unit 3: Construction of Transformers Module 1- What is a Transformer Module 2- Importance of Transformer Module 3-Iron Core of Transformer Module 4- Magnetic Circuit Inside Transformer Module 5- Windings of Transformer Module 6- Why are Windings Made of Copper Module 7- Classification of Windings Module 8- Insulating Material and Transformer Oil Module 9- Conservator of Transformer Module 10- Breather of Transformer Module 11- Bushings of Transformer Module 12- Tap Changer of Transformer Module 13- Cooling Tubes of Transformer Module 14- Buchholz Relay of Transformer Module 15- Explosion Vent Module 16- Methods of Cooling Module 17-Types of Transformers Module 18- Power Transformer and Distribution Transformer Module 19- Single Phase Core Type Transformer Module 20-Single Phase Shell Type Transformer Module 21- 3 Phase Core Type Module 22- 3 Phase Shell Type Module 23- Comparison between Shell and Core CSA Module 24- Comparison between Shell and Core Type Module 25- Notes Module 26-Video Explaining The Components in 3D and Real Life Unit 4: Fundamentals of Magnetic Circuits Module 1- Introduction to Magnetic Circuits Module 2- Induced Emf and Current Module 3- Ampere Right Hand Rule Module 4- Magnetic Circuit and Important Definitions Module 5- Linear and Non Linear Materials Module 6-Flux Linkage and Reluctance Module 7- Analogy between Electric and Magnetic Circuits Module 8- Fringing Effect Module 9- Example 1 Magnetic Circuits Module 10- Example 2 Module 11- Example 3 Module 12- Application on Magnetic Circuit - Transformers Unit 5: Theoretical Part on Transformers Module 1- Introduction to Transformers Module 2- Construction of Transformer Module 3-Theory of Operation Module 4- Ideal Transformer Module 5-Non Ideal Transformer Module 6- Effect of Loading on Transformer Module 7- Transformer Regulation Module 8- Transformer Losses Module 9- Transformer Efficiency Module 10- Transformer Rating Module 11- Question 1 Module 12- Question 2 Module 13- Question 3 Module 14- Example 1 Module 15- Voltage Relation of Transformer Module 16- Transformer Exact Equivalent Circuit Module 17- Concept of Refereeing Module 18- Approximate Equivalent Circuit Unit 6: Synchronous Machines Module 1- Construction and Principle of Operation of Synchronous Generator Module 2- Principle of Operation of Synchronous Motor Module 3- Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine Module 4-Solved Example 1 on Non Salient Machine Module 5-Solved Example 2 on Non Salient Machine Module 6-Solved Example 3 on Non Salient Machine Module 7- Solved Example 4 on Non Salient Machine Module 8-Solved Example 5 on Non Salient Machine Module 9-Solved Example 6 on Non Salient Machine Module 10- Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine Module 11-Solved Example 1 on Salient Machine Module 12- Solved Example 2 on Salient Machine Module 13-Solved Example 3 on Salient Machine Module 14- Parallel Operation of Two Generators Module 15- Synchronization of Machine with Grid Unit 7: Induction Machines Module 1- Construction and Theory of Operation of Induction Machines Module 2- Equivalent Circuit and Power Flow in Induction Motor Module 3- Torque-Speed Characteristics of Induction Motor Module 4- Solved Example 1 on Induction Motor Module 5-Solved Example 2 on Induction Motor Module 6-Solved Example 3 on Induction Motor Module 7-Solved Example 4 on Induction Motor Module 8-Solved Example 5 on Induction Motor Module 9- Methods of Speed Control of Induction Motor Module 10- Methods of Starting of Induction Motor Module 11-Solved Example on Motor Starter Module 12- Principle of Operation of Doubly Fed Induction Generator Module 13-Self Excited Induction Generator This Electrical Machines for Electrical Engineering course holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their knowledge and skills in Electrical Machines for Electrical Engineering. Recent graduates seeking to enter the job market with a competitive edge. Individuals considering a career change into Electrical Machines for Electrical Engineering. Entrepreneurs aiming to gain insights into Electrical Machines for Electrical Engineering to boost their business strategies. Anyone interested in broadening their understanding of Electrical Machines for Electrical Engineering for personal or professional growth. Requirements No prior knowledge or experience is required to enrol in this Electrical Machines for Electrical Engineering course. Career path Completing Electrical Machines for Electrical Engineering can give you the initial boost to a world of exciting career opportunities.

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

Overview This Upgrade Your Excel Skills course will unlock your full potential and will show you how to excel in a career in Upgrade Your Excel Skills. So upskill now and reach your full potential. Everything you need to get started in Upgrade Your Excel Skills is available in this course. Learning and progressing are the hallmarks of personal development. This Upgrade Your Excel Skills will quickly teach you the must-have skills needed to start in the relevant industry. In This Upgrade Your Excel Skills Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Upgrade Your Excel Skills to help you advance your career. Acquire a comprehensive understanding of various Upgrade Your Excel Skills topics and tips from industry experts. Learn in-demand Upgrade Your Excel Skills that are in high demand among UK employers, which will help you to kickstart your career. 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Course Curriculum Unit 01: Introduction Welcome 00:02:00 Unit 02: Excel Productivity Tips -Part 1 Camera Tool 00:05:00 Add Line Break in Formula Bar 00:03:00 Advanced Copy-Paste using Office Clipboard 00:03:00 Navigation between Worksheets using Shortcut Keys 00:01:00 Flash Fill 00:02:00 Add Multiple Rows and Columns Quickly 00:02:00 Delete Blank Rows 00:03:00 Multi Level Row and Column Sorting 00:04:00 Add Sparklines 00:03:00 Paste Special - Transpose 00:03:00 Unit 03: Excel Productivity Tips - Part 2 Snap to Grid 00:03:00 Create Custom Auto fill List 00:06:00 Absolute Cell Reference 00:03:00 Import Data from Web page 00:04:00 Move Cell Direction 00:03:00 Delete Data using Mouse 00:02:00 Status Bar Quick Calculations 00:03:00 Link Text Boxes to Cell 00:04:00 Phone Number and ZIP Code Format 00:04:00 Speaking Cell 00:05:00 Unit 04: Excel Productivity Tips - Part 3 Invisible Text 00:03:00 Worksheet Grouping 00:04:00 Advanced Transpose 00:04:00 XLStart Folder 00:03:00 Use Slicers 00:05:00 Convert Text to Numbers 00:03:00 Hiding Workbook Elements 00:02:00 Useful Shortcut Keys 00:03:00 Sort data from Left to Right 00:03:00 Advanced Filter (Complex) 00:11:00 Unit 05: Excel Productivity Tips - Part 4 Email as PDF 00:02:00 Synchronous Scrolling 00:03:00 Quick Analysis of data within Excel 00:02:00 Fill blank cells with Value 00:03:00 Hidden Chart Source Data 00:03:00 Two more Shortcuts 00:03:00 Add Blank Rows 00:03:00 Custom views in Excel 00:06:00 EMBED Feature 00:04:00 Adding Country code in Mobile Numbers 00:04:00 Unit 05: Excel Productivity Tips - Part 5 Plot an Average Line to a Chart 00:04:00 3D Referencing 00:04:00 Extract Unique Values 00:03:00 Excel Array Formula 00:04:00 Forecast Sheet 00:04:00 Add Spin Controls in Excel 00:05:00 Move Data using Mouse 00:01:00 Add new entry in Auto Correct to use across Office Applications 00:05:00 Find Differences between Two Lists 00:02:00 Find formulas Quickly 00:02:00 Unit: 06 Wrap Up Thank You 00:01:00

Overview This comprehensive course on Understand Piping & Instrumentation Diagrams P&IDs will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Understand Piping & Instrumentation Diagrams P&IDs 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Understand Piping & Instrumentation Diagrams P&IDs. It is available to all students, of all academic backgrounds. Requirements Our Understand Piping & Instrumentation Diagrams P&IDs 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 14 sections • 119 lectures • 08:26:00 total length •Introduction: 00:04:00 •What's a P&ID ?: 00:03:00 •Why is a P&ID so important ?: 00:02:00 •Who uses P&ID's ?: 00:06:00 •How do P&ID's look like ?: 00:08:00 •Introduction- PID READING: 00:02:00 •Anatomy of a P&ID: 00:01:00 •The title block: 00:03:00 •The drawing scale: 00:03:00 •The grid system: 00:02:00 •The revision block: 00:03:00 •Changes: 00:02:00 •Notes and legends: 00:03:00 •Valve symbols: 00:14:00 •Valve actuator symbols: 00:09:00 •Control valve designations: 00:02:00 •Standards and conventions for valve status: 00:07:00 •Process equipment symbols: 00:12:00 •Piping symbols: 00:03:00 •Pipe fitting symbols: 00:03:00 •Isolating, venting & draining symbols for ease of maintenance: 00:05:00 •Instrumentation: 00:03:00 •Sensing devices and detectors: 00:04:00 •Location symbols: 00:04:00 •Modifiers and transmitters: 00:05:00 •Indicators and recorders: 00:03:00 •Controllers: 00:03:00 •Example #1 : Identifying process equipment and flow paths: 00:05:00 •Example #2 : Identifying valve position and failure mode: 00:03:00 •Example #3 : Identifying the symbols: 00:02:00 •Piping designation code: 00:06:00 •Equipment designation code: 00:03:00 •Instrument designation code: 00:02:00 •Miscellaneous designation codes: 00:02:00 •The process: 00:01:00 •Process control: 00:06:00 •The control loop: 00:02:00 •Process control terms: 00:10:00 •Control loops : Feedback control: 00:02:00 •Pressure control loops: 00:01:00 •Flow control loops: 00:01:00 •Level control loops: 00:01:00 •Temperature control loops: 00:01:00 •Multi-variable loops: 00:02:00 •Feedforward control: 00:02:00 •Feedforward + Feedback: 00:01:00 •Cascade control: 00:08:00 •Split range control: 00:03:00 •Operations on control signals: 00:02:00 •Ratio control: 00:02:00 •Batch control: 00:01:00 •Selective control: 00:01:00 •Do we need to control at all ?: 00:01:00 •Principles of equipment-wise control: 00:10:00 •Pipe control system: 00:02:00 •Control of a single pipe: 00:02:00 •Control of pressure in a pipe: 00:03:00 •Control of flow in a pipe: 00:04:00 •Flow merging: 00:08:00 •Flow splitting: 00:05:00 •Centrifugal pump control: 00:04:00 •Control valve vs Variable Frequency Drive (VFD) for centrifugal pumps: 00:03:00 •Minimum flow control for centrifugal pumps: 00:09:00 •Positive displacement pump control: 00:02:00 •Control by a recirculation pipe for PD pumps: 00:03:00 •Variable Speed Drive (VSD) control for PD pumps: 00:01:00 •Control by stroke adjustment for PD pumps: 00:01:00 •Compressor control system: 00:02:00 •Compressor capacity control: 00:12:00 •Compressor anti-surge control: 00:03:00 •Heat transfer equipment control: 00:02:00 •Heat exchanger direct control system: 00:04:00 •Heat exchanger bypass control system: 00:04:00 •Reactor temperature control: 00:06:00 •Air cooler control: 00:02:00 •Heat exchanger for heat recovery: 00:01:00 •Heat exchanger back pressure control: 00:02:00 •Basic fired heater control: 00:08:00 •Complex fired heater control: 00:05:00 •Container and vessel control: 00:07:00 •Container blanket gas control: 00:02:00 •Safety strategies: 00:01:00 •Concept of Safety Instrumented Systems (SIS): 00:01:00 •SIS actions and types: 00:14:00 •SIS extent: 00:02:00 •SIS requirement: 00:03:00 •Anatomy of a SIS: 00:02:00 •SIS element symbols: 00:01:00 •SIS primary elements : Sensors: 00:03:00 •SIS final elements: 00:04:00 •Switching valve actuator arrangements: 00:02:00 •Valve position validation: 00:02:00 •Merging a switching valve and a control valve: 00:03:00 •SIS logics: 00:01:00 •Showing safety instrumented functions on P&ID's: 00:07:00 •Discrete control: 00:05:00 •Alarm system: 00:02:00 •Anatomy of alarm systems: 00:02:00 •Alarm requirements: 00:06:00 •Alarm system symbology in P&ID's: 00:06:00 •Concept of common alarms: 00:01:00 •Fire and Gas Detection Systems (FGS): 00:03:00 •Electric motor control: 00:07:00 •P&ID representation of commands and responses: 00:05:00 •P&ID representation of inspection and repair: 00:05:00 •P&ID example of electro-motor control: 00:04:00 •P&ID example #1 : Legend and specifications: 00:05:00 •P&ID example #2 : Hydrogen delivery station: 00:16:00 •P&ID example #3 : Acid system: 00:13:00 •P&ID example #4 : Centrifugal pump: 00:09:00 •P&ID example #5 : Utility station: 00:04:00 •P&ID example #6 : Waste water filter: 00:08:00 •P&ID example #7 : Steam separator: 00:15:00 •P&ID example #8 : Flare knock-out drum: 00:14:00 •P&ID example #9 : Centrifugal compressor: 00:05:00 •P&ID example #10 : Hydrogen production from shale gas: 00:11:00 •P&ID example #11 : Fired heater: 00:07:00 •Resources - Understand Piping & Instrumentation Diagrams P&IDs: 00:00:00 •Assignment - Understand Piping & Instrumentation Diagrams P&IDs: 00:00:00