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The Statistical Analysis Training Course is pivotal in the modern world, offering essential skills that are increasingly demanded across various industries. As businesses and organizations generate vast amounts of data, the ability to analyze and interpret this data becomes crucial. Learning from The Statistical Analysis Training Course equips individuals with expertise in key areas such as probability, hypothesis testing, regression analysis, and predictive analytics, enhancing their employability. In the UK, proficiency gained from this Statistical Analysis Training course can significantly boost job opportunities, with data analysts and statisticians earning an average salary of £35,000 to £50,000 annually. The demand for statistical analysis skills is on the rise, with the sector experiencing a growth rate of 33% over the past five years. Advantages of the Statistical Analysis Training course include a comprehensive understanding of both foundational and advanced statistical concepts, which are integral in roles across finance, healthcare, marketing, and technology. The Statistical Analysis Training Course ensures that learners are well-versed in modern analytical techniques, making them valuable assets in a data-driven economy. As the importance of data analytics continues to grow, so does the value of this training, making it an indispensable tool for career advancement. Key Features: CPD Certified Statistical Analysis Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Statistical Analysis Training Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Learning Outcomes: Grasp fundamental statistical concepts for data analysis proficiency. Understand measures of central tendency and dispersion in datasets. Apply probability theory to make informed statistical decisions. Utilize hypothesis testing techniques to draw meaningful conclusions. Master regression analysis for predictive modelling and trend identification. Embrace Bayesian methods and enhance statistical inference capabilities. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Statistical Analysis Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Statistical Analysis Training. Moreover, this course is ideal for: Aspiring data analysts seeking statistical foundations for career advancement. Professionals in research roles aiming to refine statistical analysis skills. Students pursuing degrees in mathematics, economics, or related disciplines. Business professionals looking to leverage data-driven insights for strategic decisions. Anyone interested in enhancing statistical literacy and analytical reasoning abilities. Requirements There are no requirements needed to enrol into this Statistical Analysis Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Statistical Analysis Training course. Career path After finishing this Statistical Analysis Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Statistical Analysis Training are: Data Analyst - £30K to £45K/year. Statistician - £35K to £50K/year. Market Research Analyst - £25K to £40K/year. Business Intelligence Analyst - £35K to £55K/year. Healthcare Data Analyst - £30K to £50K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Overview of Copywriting Masterclass Words are powerful. In today’s online world, good writing can help a business grow fast. The UK copywriting industry has grown by 21% in the last three years. This shows how important skilled copywriters have become. Businesses need clear and strong writing to stand out, and that’s where our Copywriting Masterclass comes in. This course gives you the skills to write copy that gets attention and helps people take action. You will learn how to write headlines that make people want to read more. You’ll also follow a proven nine-step copywriting process that top copywriters use. The Copywriting Masterclass also shares simple formulas that have worked for years. You’ll understand how to use words to connect with your audience and gently guide them to act—whether it’s buying something, signing up, or clicking a link. Whether you are writing for websites, emails, or social media, the Copywriting Masterclass teaches you how to write with purpose. You’ll get tips on writing clearly, using the right tone, and making every word count. Many learners who completed the Copywriting Masterclass are now working with top brands or earning well as freelancers. If you want to improve your writing and start creating results with your words, this course is the right choice for you. By completing this Copywriting Masterclass Course, you will be able to: Understand the key rules of writing copy that works. Use copywriting skills in ads, websites, emails, and more. Write strong headlines that grab attention right away. Use smart marketing tricks to write better sales copy. Follow a step-by-step copywriting method used by experts. Write content that’s clear, catchy, and made to convert. Who is this course for? Marketing professionals who want to write better copy that sells. Small business owners who prefer writing their own content. Content creators who want to turn readers into buyers. Anyone thinking about starting a career in copywriting. Entrepreneurs who need to explain their ideas clearly and get results. Process of Evaluation After studying the Copywriting Masterclass Course, your skills and knowledge will be tested with an MCQ exam or assignment. 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 Copywriting Masterclass Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the Copywriting Masterclass course. Career Path After completing this Copywriting Masterclass course, you can work in roles like: Copywriter – £25,000 to £45,000 per year Content Marketing Specialist – £28,000 to £50,000 per year Digital Marketing Executive – £23,000 to £38,000 per year SEO Content Writer – £22,000 to £40,000 per year Freelance Copywriter – £30,000 to £65,000 per year Course Curriculum Section 1: Introduction Unit 1: Welcome to the Copywriting Course 00:05:00 Unit 2: Course Overview 00:04:00 Section 2: Introduction to Copywriting Unit 1: What is Copywriting 00:05:00 Unit 2: Elements of Great Copy 00:11:00 Unit 3: Traditional vs Modern Copywriting 00:04:00 Unit 4: Career Options for Copywriters 00:12:00 Unit 5: Job Description and Responsibilities of a Copywriter 00:06:00 Unit 6: Copywriting vs Content Writing: The Difference 00:04:00 Section 3: Core Concepts of Copywriting Unit 1: What is a Short Form Copy 00:03:00 Unit 2: What is a Long Form Copy 00:02:00 Unit 3: Types of Tones Used for Writing Copy 00:06:00 Unit 4: Which Types of Tone You Should Use 00:07:00 Unit 5: Identifying the Target Audience 00:06:00 Unit 6: Qualities That Will Make You a Successful Copywriter 00:06:00 Section 4: Marketing Tactics to Write Copy That Sells Unit 1: The Secret to Understand Buyer’s Mindset 00:04:00 Unit 2: Never Make Your Copy Look Like an Ad 00:06:00 Unit 3: 2 Second Hack to Become a Successful Copywriter 00:05:00 Unit 4: Features vs Benefits 00:04:00 Unit 5: The Shocking Truth about Buyers & Customers 00:04:00 Unit 6: So What Test 00:05:00 Unit 7: FOMO: How to Use This Most Powerful Marketing Tool 00:08:00 Unit 8: What’s in It for Me 00:04:00 Unit 9: The Secret to Sell Instantly 00:05:00 Unit 10: Leveraging the Power of Emotions 00:04:00 Section 5: The Copywriting Process: 9 Steps to Make It Easier For You Unit 1: Steps in the Copywriting Process 00:08:00 Unit 2: Understand the Product 00:06:00 Unit 3: Performing Competitor Analysis 00:12:00 Unit 4: Create a Buyer Persona / Customer Avatar 00:06:00 Unit 5: Writing the copy 00:01:00 Unit 6: Editing the Copy 00:02:00 Unit 7: Adding Design Elements + Media 00:07:00 Unit 8: Publish the Copy + Promotion 00:02:00 Unit 9: Checking the Conversion from Copy – Measuring Results 00:03:00 Section 6: Copywriting Formulas Unit 1: AIDA: The 4 Step Formula 00:05:00 Unit 2: Storytelling: Best Tool for Converting Readers into Buyers 00:05:00 Unit 3: 3 STEP Formula: PAS 00:06:00 Section 7: Headlines Unit 1: Section Introduction 00:01:00 Unit 2: Intro to Headlines 00:07:00 Unit 3: Importance of Headlines 00:03:00 Unit 4: Formula to Write Amazing Headlines (Everytime) 00:09:00 Unit 5: How to Use This Formula (With Examples) 00:02:00 Unit 6: Free Tool to Create Attractive Headlines 00:03:00 Unit 7: Practice Exercise 00:01:00 Section 8: 6 Hacks to Write Headlines That Readers Cannot Resist Unit 1: Section Intro 00:02:00 Unit 2: Headline Hack # 1 00:01:00 Unit 3: Headline Hack # 2 00:02:00 Unit 4: Headline Hack # 3 00:02:00 Unit 5: Headline Hack # 4 00:04:00 Unit 6: Headline Hack # 5 00:02:00 Unit 7: Headline Hack # 6 00:03:00 Unit 8: Quick Recap 00:01:00 Section 9: Creating the Copy Unit 1: Creating Call to Actions (CTA) That Reader’s Cannot Resist 00:04:00 Unit 2: Focus on the Customer 00:06:00 Unit 3: How to Write a Conversational Copy 00:03:00 Section 10: Hacks & Tips Unit 1: Collect Winning Pieces 00:04:00 Unit 2: 3 Extremely Powerful Words That You Must Use in a Copy 00:02:00 Unit 3: Using Customer’s Words 00:05:00 Section 11: Practice Exercises Unit 1: Recreate Ads 00:01:00 Unit 2: Record Your Copy 00:02:00 Section 12: Conclusion Unit 1: Conclusion 00:01:00
Challenging Behaviour Course is Now The Most Demanding Course to Advance Your Career! Challenging Behaviour course is for those who want to advance in this field. Throughout this Challenging Behaviour course, you will learn the essential skills and gain the knowledge needed to become well versed in Challenging Behaviour. Our Challenging Behaviour course begins with the fundamentals before advancing gradually to more complicated subjects. As a result, this Challenging Behaviour course's lessons are all clear-cut and simple to comprehend. Challenging Behaviour Courses' Learning Outcomes: You'll be a seasoned expert after completing this esteemed Challenging Behaviour course. You will discover- Become familiar with psychological principles and human behaviour. Understanding human behaviour from an evolutionary standpoint Know how intelligent people are. Recognise the various intelligence grading scales. Respect communication and language. Research the impact of emotions on feelings. Study stress, anger, and conflict management techniques. Requisites for fostering self-leadership and emotional intelligence. So, stand out in the job market by completing the Challenging Behaviour Course. Get an accredited certificate and add it to your resume to impress your employers. Key Highlights for Challenging Behaviour Course: CPD AccreditedChallenging Behaviour Course Unlimited Retake Exam & Tutor Support Easy Accessibility to the Challenging Behaviour Course Materials 100% Learning Satisfaction Guarantee Lifetime Access & 24/7 Support Self-paced Online Challenging Behaviour Course Modules Challenging Behaviour Course Curriculum Breakdown: Module 01: Human Behaviour and Basic Psychological Process Module 02: Evolutionary Perspective of Human Behaviour Module 03: Human Intelligence Module 04: Intelligence Test and Variations in Intelligence Module 05: Learning and Conditioning Module 06: Language and Communication Module 07: Introduction to Emotion Module 08: Emotion Influences Cognition Module 09: Stress, Anger and Conflict Module 10: Emotional Intelligence Module 11: Self-Leadership Module 12: Neuro-Linguistic Programming (NLP) Certification CPD Accredited (CPD QS) Certificate PDF & Hardcopy certificates are available CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Challenging Behaviour course. However, This course particularly effective for- Students Recent graduates Job Seekers in related field Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill We take pleasure in offering the most adaptable, relatively inexpensive, and enjoyable online courses possible to eager aspirants all around the world. Requirements Learners seeking to enrol for the Challenging Behaviour Course should meet the following requirements; Basic knowledge of English Language, which you have already Basic Knowledge of Information & Communication Technologies for studying online or digital platform. Stable Internet or Data connection in your learning devices. Career path After completing this Challenging Behaviour course, you can explore trendy and in-demand jobs related to this course. Explore each of the roles available and how you can start your career in Challenging Behaviour course. Certificates Certificate of completion Digital certificate - Included
Overview This comprehensive course on Electric Circuits for Electrical Engineering will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Electric Circuits for Electrical Engineering 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 Electric Circuits for Electrical Engineering. It is available to all students, of all academic backgrounds. Requirements Our Electric Circuits for Electrical Engineering 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 7 sections • 135 lectures • 10:29:00 total length •Module 1- What Is an Electric Circuit: 00:02:00 •Module 2-System of Units: 00:07:00 •Module 3- What Is an Electric Charge: 00:05:00 •Module 4- What Is an Electric Current: 00:08:00 •Module 5-Example 1: 00:09:00 •Module 6- Example 2: 00:02:00 •Module 7- Example 3: 00:13:00 •Module 8- What Is Voltage: 00:07:00 •Module 9- What Is Power: 00:06:00 •Module 10- What Is Energy: 00:04:00 •Module 11- Example 4: 00:03:00 •Module 12- Example 5: 00:02:00 •Module 13- Dependent and Independent Sources: 00:05:00 •Module 14- Example 6 Part 1: 00:04:00 •Module 15- Example 6 Part 2: 00:01:00 •Module 16- Application 1 Cathode Ray Tube: 00:04:00 •Module 17-Example 7: 00:04:00 •Module 18- Application 2 Electricity Bills: 00:02:00 •Module 19- Example 8: 00:03:00 •Module 1- Introduction to Basic Laws: 00:01:00 •Module 2- Definition of Resistance: 00:06:00 •Module 3- Ohm's Law: 00:02:00 •Module 4- Types of Resistances: 00:06:00 •Module 5- Open and Short Circuit: 00:05:00 •Module 6- Definition of Conductance: 00:04:00 •Module 7-Example 1: 00:01:00 •Module 8-Example 2: 00:01:00 •Module 9- Example 3: 00:03:00 •Module 10- Branch, Node and Loops: 00:07:00 •Module 11- Series and Parallel Connection: 00:04:00 •Module 12- KCL: 00:04:00 •Module 13- KVL: 00:03:00 •Module 14- Example 4: 00:05:00 •Module 15- Example 5: 00:02:00 •Module 16- Example 6: 00:06:00 •Module 17- Series Resistors and Voltage Division: 00:07:00 •Module 18-Parallel Resistors and Current Division: 00:12:00 •Module 19- Analogy between Resistance and Conductance: 00:07:00 •Module 20-Example 7: 00:03:00 •Module 21-Example 8: 00:04:00 •Module 22- Introduction to Delta-Wye Connection: 00:06:00 •Module 23-Delta to Wye Transformation: 00:05:00 •Module 24- Wye to Delta Transformation: 00:07:00 •Module 25-Example 9: 00:03:00 •Module 26- Example 10: 00:15:00 •Module 27- Application Lighting Bulbs: 00:03:00 •Module 28-Example 11: 00:05:00 •Module 1- Introduction to Methods of Analysis: 00:02:00 •Module 2- Nodal Analysis with No Voltage Source: 00:15:00 •Module 3-Example 1: 00:04:00 •Module 4-Cramer's Method: 00:04:00 •Module 5-Nodal Analysis with Voltage Source: 00:07:00 •Module 6- Example 2: 00:02:00 •Module 7- Example 3: 00:13:00 •Module 8-Mesh Analysis with No Current Source: 00:10:00 •Module 9-Example 4: 00:04:00 •Module 10- Example 5: 00:06:00 •Module 11-Mesh Analysis with Current Source: 00:07:00 •Module 12-Example 6: 00:08:00 •Module 13-Nodal Vs Mesh Analysis: 00:04:00 •Module 14-Application DC Transistor: 00:04:00 •Module 15-Example 7: 00:04:00 •Module 1-Introduction to Circuit theorems: 00:02:00 •Module 2-Linearity of Circuit: 00:07:00 •Module 3-Example 1: 00:04:00 •Module 4-Superposition Theorem: 00:07:00 •Module 5- Example 2: 00:04:00 •Module 6-Example 3: 00:06:00 •Module 7-Source Transformation: 00:08:00 •Module 8-Example 4: 00:05:00 •Module 9-Example 5: 00:03:00 •Module 10-Thevenin Theorem: 00:10:00 •Module 11-Example 6: 00:06:00 •Module 12-Example 7: 00:05:00 •Module 13- Norton's Theorem: 00:05:00 •Module 14-Example 8: 00:04:00 •Module 15-Example 9: 00:05:00 •Module 16-Maximum Power Transfer: 00:05:00 •Module 17-Example 10: 00:03:00 •Module 18-Resistance Measurement: 00:05:00 •Module 19-Example 11: 00:01:00 •Module 20-Example 12: 00:04:00 •Module 21-Summary: 00:05:00 •Module 1-Introduction to Operational Amplifiers: 00:03:00 •Module 2-Construction of Operational Amplifiers: 00:07:00 •Module 3-Equivalent Circuit of non Ideal Op Amp: 00:10:00 •Module 4-Vo Vs Vd Relation Curve: 00:04:00 •Module 5-Example 1: 00:09:00 •Module 6-Ideal Op Amp: 00:07:00 •Module 7- Example 2: 00:04:00 •Module 8-Inverting Amplifier: 00:05:00 •Module 9-Example 3: 00:02:00 •Module 10-Example 4: 00:02:00 •Module 11-Non Inverting Amplifier: 00:08:00 •Module 12-Example 5: 00:03:00 •Module 13-Summing Amplifier: 00:05:00 •Module 14-Example 6: 00:02:00 •Module 15-Difference amplifier: 00:06:00 •Module 16-Example 7: 00:08:00 •Module 17-Cascaded Op Amp Circuits: 00:06:00 •Module 18-Example 8: 00:04:00 •Module 19-Application Digital to Analog Converter: 00:06:00 •Module 20-Example 9: 00:04:00 •Module 21-Instrumentation Amplifiers: 00:05:00 •Module 22-Example 10: 00:01:00 •Module 23-Summary: 00:04:00 •Module 1-Introduction to Capacitors and Inductors: 00:02:00 •Module 2-Capacitor: 00:06:00 •Module 3-Capacitance: 00:02:00 •Module 4-Voltage-Current Relation in Capacitor: 00:03:00 •Module 5-Energy Stored in Capacitor: 00:06:00 •Module 6-DC Voltage and Practical Capacitor: 00:02:00 •Module 7-Example 1: 00:01:00 •Module 8-Example 2: 00:01:00 •Module 9-Example 3: 00:02:00 •Module 10-Equivalent Capacitance of Parallel Capacitors: 00:02:00 •Module 11-Equivalent Capacitance of Series Capacitors: 00:03:00 •Module 12-Example 4: 00:02:00 •Module 13-Definition of Inductors: 00:06:00 •Module 14-Definition of Inductance: 00:03:00 •Module 15-Voltage-Current Relation in Inductor: 00:03:00 •Module 16-Power and Energy Stored in Inductor: 00:02:00 •Module 17-DC Source and Inductor: 00:04:00 •Module 18-Example 5: 00:02:00 •Module 19-Series Inductors: 00:03:00 •Module 20-Parallel Inductors: 00:04:00 •Module 21-Example 6: 00:01:00 •Module 22-Small Summary to 3 Basic Elements: 00:02:00 •Module 23-Example 7: 00:05:00 •Module 24-Application Integrator: 00:05:00 •Module 25-Example 8: 00:03:00 •Module 26-Application Differentiator: 00:02:00 •Module 27-Example 9: 00:06:00 •Module 28-Summary: 00:05:00 •Assignment - Reporting and Data: 00:00:00
Event Management: Event Management Training Online The process of organising and managing an event is known as event management. This process includes everything from initial planning to post-event strategy. This Event Management Training comprehensive course will provide you with a complete understanding of this topic. An event manager begins by making planning decisions such as the time, location, and theme of their event. Our professionals created this Event Management Training course to provide you with advanced skills, knowledge, and confidence to help you build a long-term career in this field of event management. This Event Management UK course is for both aspiring beginners and experienced professionals who want to gain a detailed understanding of important business management topics. Special Offers of this Event Management: Event Management Course This Event Management Course includes a FREE PDF Certificate. Lifetime access to this Event Management: Event Management Course Instant access to this Event Management: Event Management Course Get FREE Tutor Support from Monday to Friday in this Event Management Course Courses are included in this Event Management Training Bundle Course Course 01: Level 7 Diploma in Event Management Course 02: Level 5 Diploma in Wedding Planner Course 03: level 4 Time Management Course 04: Level 2 Food Hygiene and Safety For Catering [ Note: Free PDF certificate as soon as completing the Event Management: Event Management Training course] Event Management: Event Management Training Industry Experts Designed this Event Management course into 6 detailed modules. Course Curriculum of Event Management Training Module 01: An Introduction to Events Module 02: The Market Demand for Events Module 03: The Events Business: Supply and Suppliers Module 04: Social, Economic, Political and Developmental Implications Module 05: Making a Start and Planning the Event Module 06: Financial Management and the Budget Assessment Method of Event Management Training After completing each module of the Event Management: Event Management Training course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Event Management Training After completing the MCQ/Assignment assessment for this Event Management: Event Management Training course, you will be entitled to a Certificate of Completion from Training Tale which is completely free to download. Who is this course for? Event Management: Event Management Training The Event Management Training course is appropriate for students who want to learn new skills and knowledge for event planning. Individuals looking to start their own business, become an event planner, or work in the hospitality industry should consider taking event management courses. Requirements Event Management: Event Management Training Students who intend to enrol in this Event Management course must meet the following requirements: Event Management: Good command of the English language Event Management: Must be vivacious and self-driven Event Management: Basic computer knowledge Event Management: A minimum of 16 years of age is required Career path Event Management: Event Management Training
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Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00