Company Bankruptcy Prediction

Overview

This project focuses on predicting company bankruptcy using various machine learning models and financial datasets. By analyzing financial indicators and employing predictive modeling techniques, we aim to develop accurate models for identifying companies at risk of bankruptcy.

Features

• Predicts company bankruptcy using machine learning models
• Utilizes financial datasets and indicators for prediction
• Evaluates model performance with relevant financial metrics
• Provides insights into the financial health and risk assessment of companies

For this project, the following models were used:

• Linear Regression
• Random Forest
• Gradient Boosting Regression
• Support Vector Regression (SVR)
• Neural Network