Statistics and Linear Algebra for Machine Learning In 5 Hours | OdinSchool

[@OdinSchool]

Like what you see? Subscribe to OdinSchool and hit the 🔔 icon now! Here are the topics covered in the video👇 00:00 -02:09 Introduction to the course and about the trainer 02:10-03:51 What is Statistics? 03:52-12:00 Categories in Statistics 12:01-13:25 Population & sample 13:26-25:23 Data types 25:24-32:08 Quartiles 32:09-36:53 Percentile 36:54-41:49 Central tendencies 41:50-44:39 Probability 44:40-50:09 Types of probability 50:10-57:13 Standard deviation & variance 57:14-1:00:53 Correlation 1:00:54-1:03:38 Covariance 1:03:41-1:09:23 What is data distribution? 1:09:24-1:16:21 Normal distribution 1:16:22-1:26:55 Empirical rule 1:26:56-1:29:58 Binomial distribution 1:29:59-1:34:28 Poisson distribution 1:34:29-1:41:15 Bayes Theorem 1:41:16-1:49:36 Central Limit Theorem 1:49:37-1:55:57 What is Hypothesis? 1:55:38- 2:07:29 Null Hypothesis 2:07:30- 2:10:49 Alternate Hypothesis 2:10:50-2:14:27 Level of Significance & Confidence Interval 2:14:28-2:16:59 P-Value 2:16:60-2:20:35 Type I and Type II Error 2:20:36- 2:24:14 Two-Tailed, One-Tailed Tests 2:24:15-2:27:27 Procedure for Hypothesis Tests 2:27:28-2:31:25 Z-Test & T-Test 2:31:26- 2:45:47 Chi-Square Test and ANOVA 2:45:51-2:47:13 Scalar 2:47:14-2:50:27 Vector 2:50:38-2:53:00 Matrix 2:53:00-3:02:50 Lines & Planes 3:02:51-3:12:25 Matrix Operations 3:12:26-3:13:42 Vector Operations 3:13:43-3:45:08 Linear Algebra in Python 3:45:09-3:52:04 Inner Product 3:52:05-3:52:59 Outer Product 3:53:00-4:14:11 Column and Row Space 4:14:12-4:19:15 Linear Dependency 4:19:16-4:21:50 Eigen Vectors and Eigen Values 4:21:51-4:38:42 Linear Algebra in Python

[@sanskritisatpute510]

Amazing!

[@snehasneha3822]

New to stats I find your teaching easy