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Timestamp: 00:00:00 - Intro 00:01:42 - Vision Behind This Program 00:02:25 - 11 Points - Before You Start - 1 Point 00:05:03 - Point 2: Why Is Python So Important? 00:06:14 - Point 3: Why Are We Releasing This? 00:07:42 - Point 4: Is This Same Content as Before? 00:11:22 - Point 05: What Makes This Course Different? 00:13:35 - Point 06: What Do I Expect from You? 00:15:25 - Point 07 - Free Learning vs Guided Learning 00:18:04 - My Secret Way of Learning Revealed 00:19:53 - The Survey 00:21:18 - Point 08: A Small Request to Our Channel Learners 00:22:53 - About Me? 00:24:33 - Point 10: How to Access Our Course Materials? 00:25:37 - Point 11: The 7-Day Learning Plan 00:26:41 - Final Reminder 00:28:37 - Let's Get Started with Python (Module 2: Python Installation) 00:35:44 - Module 2.2: Explore Different IDEs 00:44:13 - Module 2.4: Python Basics 01:02:06 - Module 2.4.2: Number Guessing Game Level 2 01:15:41 - Module 2.4.3: Number Guessing Game Level 3 01:33:39 - Module 2.4.4: Number Guessing Game Level 4 01:39:47 - Module 2.4.5: Number Guessing Game Level 5 01:47:32 - Module 2.4.6: Number Guessing Game Level 6 01:54:30 - Module 2.5: Number Guessing Game Level 7 02:00:46 - Module 3: Python Libraries 02:22:42 - Module 3.2: NumPy Library 02:41:00 - Module 4: Python Data Structure 02:45:33 - Quick Recap Agenda (Optional) 03:16:00 - Module 4.2: Python Data Structure - Sets 04:06:55 - Open Talk 04:27:43 - Module 5.1: Pandas Library Deep Dive 05:00:50 - Module 5.2: Pandas Library Deep Dive 05:18:10 - Module 5.3: Pandas Library Deep Dive 05:37:05 - Module 5.3: Pandas Library Deep Dive 05:49:07 - Module 5.4: Pandas Library Deep Dive 06:12:52 - Module 5.5: Pandas Library Deep Dive 06:33:00 - Module 5.6: Data Cleaning Techniques 07:02:47 - Interview Questions 07:08:49 - Interview Questions & Answers 07:26:41 - Interview Coding Questions & Answers 08:09:35 - Data Visualisation 08:39:31 - Data Visualisation - 2 08:41:04 - Data Visualization Masterclass Episode 01 09:08:31 - OOPS - 1 09:40:31 - OOPS - 2 10:19:57 - Python Course Is Done, Congratulations! ML Crash Course Starts 10:26:33 - Chapter 01: ML Foundations 10:30:06 - Point 01: Why Machine Learning? 10:37:06 - Point 2 to Point 4: Types of Machine Learning 10:53:31 - Point 5 to Point 6: About Unsupervised & Reinforcement Learning 11:05:24 - Summary 11:06:21 - Chapter 2.1: Linear Regression Theory 11:41:54 - Chapter 2.2: Linear Regression Scripting 11:43:34 - Point 1: Why Machine Learning? 12:06:48 - Test 2: Normality Test 12:15:15 - Test 3: Multi-Collinearity Test 12:27:55 - Step 4: Data Preparation 12:28:58 - Step 5: Model Building 12:36:21 - Step 7: Model Testing 12:40:51 - Test 5 & 6: Only Now These 2 Tests Can Be Performed 12:52:38 - Step 9: Model Deployment 12:58:10 - The End: Overall Summary 13:02:53 - ML Crash Course Is Done, Congratulations! Agentic AI & Gen AI Course Planner 13:03:37 - Agenda 13:04:09 - 1: Python Is Mandatory 13:06:11 - 2: Who Writes Code Today? 13:07:40 - 3: What Should Be Your Smart Move? 13:09:31 - 4: Course Learning Approach 13:11:16 - 5: Our Vision 13:13:15 - 6: Who Is the Program For? 13:15:24 - Takeaway 13:16:17 - Summary
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