Jagjeet/supervised-machine-learning

supervised-machine-learning

This project uses 2019 loan data to train models to predict risk for loans for 2020. The following models are use:

• Logistic regression
• Random forest classifier

Prerequisites

To run this project the following tools are needed:

• Python
• Jupyter Notebooks/Labs

Usage

• Clone the respository
• Run the Credit Risk Evaluator.ipynb from Jupyter notebooks or labs

Known Issues

• None

References

Below are references used in developing this project:

• Label Encoder
• StandardScaler
• Converting columns to categorical data
• Converting categorical data to numerics
• Adding the same columns between training and test data