15:15
Feature Engineering: Central Aspect of Data Science and ML
bhupen
15:30
variance threshold in feature engg
13:48
Covariances in feature engineering (data science/ machine learning. )
20:30
Correlations and Multi-collinearity in Feature Engineering
15:14
Exploring Correlation Measures in Data Science
14:34
A Guide to Information Value
14:20
Individually Strong: Univariate Feature Selection Techniques Explored
23:47
The Role of T-Test in Feature Selection
18:25
ANOVA for Univariate Feature Importance
11:55
Assess Categorical Relationships in Data using chi2
10:16
Selecting Optimal Features with SelectKBest
12:51
Advanced Feature Selection with Wrapper Methods
16:45
Optimizing Models: The Role of Regularization in ML/DL - Intuition
40:09
Regularization Techniques in ML - Easy Explanation with hands on Ridge/Lasso implementation
