- Identifing Missing Values.
- Handling Numerical Variables.
- Handling Temporal Variable.
- Analyzeing DataTime Temporal variable and Finding Relation between them.
- Describing Data based on Continous and Discreate Values Performing Logarithmic Transformation on Skewed Data.
- Handling Ouliers.
- Handling Catagorial Data.
- Handling Numerical,Temporal and Catagorial Missing Data.
- Handling Rare Categorical Feature.
- Feature Scaling using MinMax Scaler.
- Using Lasso Regression and Finding the Most Important Feature.