Exhaustive Feature Selection | Wrapper Method Part 3 | Tutorial 9

[@loveseeker3153]

very satisfied.

[@leelasaivoonna1728]

Perfect!!!

[@beautyisinmind2163]

Sir, instead of using LGR or KNN or Random forest in exhaustive feature selection, can I use SVM, Naive bayes orDecision tree????? please reply

[@AtulPatelds]

You can use any model

[@beautyisinmind2163]

@@AtulPatelds Thank you sir, what I want do is following your tutorial I wanna implement SVM, Naïve Byes, random forest, decision tree, LGR and KNN for exhaustive feature selection on same dataset, I can do that right sir?

[@AtulPatelds]

Yes you can apply which one give better result select that approach

[@AtulPatelds]

But before that pls do proper EDA and feature engineering to get the better result..

[@AtulPatelds]

Applying model s not a rocket science Any one can do that even 12th standard guy can do that.. Data science is like playing with data using statistics and analytics and getting quality of features.