DSI-Project---Credit-Risk-Prediction

This repository contains the project for the Data Science I lecture at TU Darmstadt. The goal of the project is to build a classifier to predict credit risk based on the public dataset "Statlog (German Credit Data)".

Project Overview

Credit risk assessment is a critical task in the finance industry, aiming to evaluate the likelihood of a borrower defaulting on a loan. Accurate prediction models can help financial institutions make informed lending decisions, reduce losses, and manage risk more effectively.

Installation

Prerequisites

• Python (version 3.11.5)

Setting Up a Virtual Environment

1.Create a virtual environment (optional but recommended):

# Using venv (Python 3.X)
python -m venv env

# Activate the virtual environment
# On Windows
.\env\Scripts\Activate
# On macOS/Linux
source env/bin/activate

2.Installing Dependencies

pip install -r requirements.txt