Identifying Profitable LendingClub Loans using Decision Tree

Build a Decision Tree classifier from scratch to identify profitable Lending loans.

Instructions

• Download LendingClub loan data on Kaggle
• Call the Python command to install the required libraries: pip3 install -r py_libraries.txt
• Run the Jupyter notebook data_preprocessing.ipynb
• Open the terminal and run the data sampling program using the command: python stratified_sampling.py
• Call the main program and follow the instruction on the screen using the command: python main.py

Contents

Document

• Project Report

Jupyter Notebooks

• Data Pre-processing
• Exploratory Data Analysis

Python Programs

• Data Sampling
  • Command: python stratified_sampling.py
  • Call this program to perform stratified sampling on the pre-processed data.
• DT.py - this module contains:
  • Two classes: Node and DecisionTree.
  • Utility functions for making predictions and evaluating the model.
• Main
  • Command: python main.py
  • Call this program to build a Decision Tree or display result of a previously built tree.
  • 

Text File

• Instructions