Feature selection techniques(python) | feature selection using filter method in python

#featureselectiontechnique
Github link : https://github.com/coders-digest/Feature-Selection-techniques-in-python
feature selection in machine learning is a process where we select the features either manually or by built in packages such as sci kit learn to select feature which we need to feed to our machine learning models.
in this video we will see feature selection using filter method.
feature selection is very very important step as it not only reduces the computational code but also increases the accuracy by removing the noisy features.
In today's video we will use scikit learn variance threshold module to remove the constant features from our data.

Github link : https://github.com/coders-digest/Feature-Selection-techniques-in-python

I also have a complete feature engineering playlist in python and i will recommend you to checkout that as well, link here : https://youtube.com/playlist?list=PLyB8AGpv661FvHtb9jbNYSsnSANV4bkFG

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