To identify multicollinearity in a simple and straight manner.
Input
- DataFrame with target feature in case of regression
- Threshold for correlation
Output
- Dataframe with correlation of two features
- Dataframe with features which correlate with each other
Insight
- Identify multicollinearity by looking at the target column (Regression)
- Discard features which are not relevant