Regression/preprocessing/suraj

My pre-processing includes several steps for the garments workers productivity dataset:

1. Some Column type conversions.
2. Cleaned missing values.
3. Handling categorical columns with target and label encoding.
4. Visualized distribution of numerical and categorical features, heatmap, correlation matrix, boxplot for outliers.

Finalized processed dataset and notebook

• Dataset: data/processed/SM_Regression_Suraj.ipynb
• Notebook: notebooks/regression/Pre-Processing_Suraj.ipynb