Data Preprocessing in Python

End-to-End Data Preprocessing in Machine Learning in Python. The following data cleaning operations on Loans data needed before ingesting the data into a machine learning model :

1. Importing libraries
2. Importing datasets
3. Missing Values detection and treatment
4. Outliers detection and treatment
5. Transformation of Variables
6. Scaling the Numerical Variables
7. Encoding the Categorical Variables
8. Creation of New Variables
9. Splitting the data into training and test set