Credit Risk Analytics in Python

This project predicts credit risk using a logistic regression model, developed in Google Colab using Python.

Features

• Exploratory Data Analysis
• Data Preprocessing
• Feature Engineering
• Model Training (Logistic Regression, Decision Tree)
• Performance Evaluation (AUC, Confusion Matrix)

Tech Stack

• Python
• Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
• Google Colab
• Jupyter Notebook format