dadavalangege/Feature_Engineering

Improving Machine Learning models performances through Feature Engineering and Feature Scaling techniques such as Principal Component Analysis (PCA), Dummy variables, Standard Scaling and Data Normalization

Feature-Engineering

In this project we took a sports data set and we applied feature engineering and feature scaling techniques such as Principal Component Analysis (PCA), Dummy variables, Standard Scaling and Data Normalization in order to improve machine learning models performances.