Scikit-learn Advanced Features | Data Science
It demonstrates some useful scikit-learn concepts in transforming features, pipelining, grid search, and much more.
machine-learning scikit-learn data-science feature-engineering grid-search pipeline python article tutorial

Don't forget to tag @aaabulkhair in your comment, otherwise they may not be notified.

Authors original post
Data Scientist | Teaching Assistant at Information Technology Institute ( ITI )
Share this project
Similar projects
Prediction of Eye State Using KNN algorithm
Prediction of Eye State Using KNN algorithm with Walk-forward validation.
Normalising a distribution
A Kaggle kernel/Jupyter Notebook illustrating a number of methods (including experimental ones), on how to normalise a distribution in `Python`.
Feature importance
A python source file illustrating multiple methods to extract Feature importance from a dataset
ENEM
Predicting ENEM Grades
Top collections