Complete Math for Machine Learning and AI

Telegram group- https://t.me/data_dissection Full Machine Learning course in hindi- https://youtube.com/playlist?list=PLlpUUtQ9RrF4o3UTYbc4cP3NCEyE5BwX5&si=RVj6gVjE2J0XwPw8 Full Neural networks course- https://youtube.com/playlist?list=PLlpUUtQ9RrF47CpLH6PSFL2oeP3izPMhE&si=xJ5E79pugCDkYxR7 Math for ai math for machine learning math for data science probability for machine learning probability for data science machine learning machine learning roadmap machine learning full course machine learning projects machine learning engineer roadmap machine learning tutorial machine learning playlist machine learning course machine learning interview questions machine learning machine learning full course in hindi machine learning in tamil machine learning in telugu machine learning with python Welcome to this comprehensive Machine Learning Course in Hindi . In this playlist, you'll master the essential machine learning algorithms with hands-on coding tutorials, real-world examples, and step-by-step explanations. 00:00:00 - Introduction to course 00:00:56 - Introduction to Probability 00:02:56 - Probability definition 00:14:03 - Set theory 00:22:04 - Fair events 00:25:23 - Conditional Probability 00:36:30 - Types of events 00:43:16 - Bayes Theorem 01:00:34 - Combinatorics 01:31:49 - Random variables 01:36:45 - Mean, Median and Mode 01:45:06 - Standard Deviation 01:53:30 - Expectation 02:05:48 - Covariance 02:18:06 - Correlation 02:28:27 - Binomial Distribution 02:34:23 - Probability Distribution Functions 02:55:20 - Normal Distribution and Z-score 03:08:07 - Microsoft Data Science interview quesn 03:18:56 - PhonePe interview quesn 03:25:39 - Statistics, Population and samples 03:37:53 - Central Limit Theorem 03:50:16 - QQ plot 03:56:46 - QQ plot code 04:01:42 - Hypothesis Testing(Null hypothesis) 04:18:16 - 2 tailed test 04:33:53 - Z Test 04:45:30 - T Test 04:54:14 - 2 sample test 05:09:33 - KS Test 05:21:49 - Chi square test 05:35:03 - ANOVA 05:45:22 - F Test 05:52:18 - Introduction to Linear Algebra 05:53:51 - Straight lines 06:00:51 - Co-ordinate geometry 06:17:07 - Vectors 06:29:24 - Matrix 06:41:19 - Determinants 06:48:44 - Eigen value & Eigen vectors 06:53:46 - Introduction to calculus 06:56:34 - Functions 07:08:41 - More on functions 07:37:12 - Limits and deriving dy/dx 07:49:16 - Rules of dy/dx 07:56:16 - Application of dy/dx