Feature Selection using Filter Methods - Tutorial 1

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During the Machine Learning Training pipeline we select the best features which we use to train the machine learning model.
In this video I explained the what is the Filter method and their different types. here I only explained the conceptual understanding about the filter method.
Below are different Filter Methods which I explained in a summarized way.

Filter Method Types

1. Basic Filter Methods
VarianceThreshod (Remove the Constant Feature and Quasi-Constant Features)
Remove Duplicate Features
2. Correlation & Ranking Filter Methods
Pearson’s correlation coefficient
Spearman’s rank coefficient
Kendall’s rank coefficient
3. Statistical Methods
Anova or F-Test
Mutual Information
Chi Square

#FeatureSelection #DataScience #MachineLearning

Atul Patel

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As South East Asian, It is usually difficult for me to follow tutorial from an Indian teacher, but you are not the case. Your explanation is very clear.

mrlajel

I like your way of explanation. It complete both Practical and theory..

rajbir_singh

Sir can u please how to calculate f-score feature selection method

sanheera

Feature Selection using Filter Methods - Tutorial 1

Feature Selection using Filter Methods - Tutorial 1

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