This repository contains one stops detailed guide to handle the Feature Engineering in any kind of DataSet such as :-
- Handling Missing Values in both Categorical and Numerical
- Finding and Removing Outlier
- Finding the Correlation and Feature Selection
- Techniques to handle the Imbalanced DataSet
- Ways to transform the data for all kinds of Standardization