Project-3-BankChurns

EDA, feature selection (RFE), clustering chosen features, classification models performed on partly clustered features

Predicting bank churns with supervised and unsupervised leaarning

1. Exploratory Data Analysis (EDA)
2. Feature selection
3. Packing less important features into clusters
4. Merging clusters with selected important features
5. Classification models on new merged data