Home Loan Denial Analysis

Description

This project involves a comprehensive analysis of home loan denials using Python, Random Forest and LightGBM and data analysis techniques. The project aims to identify key factors leading to loan denials through data cleaning, processing, exploratory data analysis, and predictive modeling.

Technologies

• Python
• Pandas
• Scikit-Learn
• Matplotlib
• Seaborn
• lightgbm
• Numpy

Project Structure

• data/: Contains the processed data.
• notebooks/: Jupyter notebooks for exploratory data analysis and modeling.
• README.md: Project documentation.
• requirements.txt: List of dependencies.

Installation

Clone the repository and install the required packages:

git clone https://github.com/DJ-Greenwood/home-loan-denial-analysis.git
cd home-loan-denial-analysis
pip install -r requirements.txt

Use the following to create a Python environment:

python -m venv venv

To activate the Python environment, enter the following:

source venv/bin/activate  # On macOS/Linux
venv\Scripts\activate     # On Windows