Feature Engineering Explained - Introduction and Feature Improvement in Python

This is the first video of a video series about feature engineering techniques which are "feature improvement", "feature construction", "feature extraction" and "feature selection". I explained the ML pipeline, and the position of feature engineering in the pipeline. Then I started to explain the first feature engineering techniques, "feature improvement", with examples in Jupyter Notebook.

I showed "imputing missing values", "scaling", and "dealing with outliers" with examples in #python .

I hope this video series clearly explained the feature engineering techniques and distinguish the feature "....." terms.

source code link: https://github.com/emre-kocyigit/feat...

source book: https://www.oreilly.com/library/view/...

#machinelearning #featureengineering #featureimprovement #jupyternotebook #python #scikitlearn