Все публикации

0:08:47

27 2 wcss & k means++ 1080p

0:20:55

26 5 PCA code example 1080p

0:12:16

27 4 k means using sklearn 1080p

0:10:34

27 5 silhouette analysis 1080p

0:13:13

27 6 k means to help supervised learning 1080p

0:04:57

23 2 Multi Output Classification

0:04:09

22 3 KNN Choosing K value

0:05:07

22 4 KNN Algorithms

0:06:37

24 1 Introductipn to SVM

0:10:48

23 1 multi-label output 1080p

0:12:46

24 2 hyperparameter c & scaling sensitivity 1080p

0:09:08

24 5 svm kernel trick 1080p

0:10:03

24 4 linear svc on linear dataset 1080p

0:06:54

25 2 Rank of a Matrix

0:13:15

24 3 svm iris dataset 1080p

0:13:05

25 1 linear dependence and independence 1080p

0:07:11

25 3 Vector Multi Length Unit Projection

0:17:17

24 6 rbf kernal & model building 1080p

0:05:39

25 4 Brief Recap of Matrices

0:05:00

20 1 Sigmoid Function

0:05:38

20 2 Logistic Regression Threshold

0:10:52

25 5 Eigen Vectors Values Introduction

0:08:29

20 4 logistic regression examples on threshold 1080p

0:08:11

20 3 Logistic Regression Decision Score