This project analyzes financial data of American companies to predict bankruptcy.
It includes Data Cleaning, EDA, Feature Engineering, Regression, and Classification models.
🎥 Project Presentation Video
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🏆 Best Models
Regression Task: Predicted X1 (Current Assets).
Winning Model: Ridge Regression
Performance: R2 Score = 0.9999
Classification Task: Predicted Status (Alive/Failed).
Winning Model: Random Forest Classifier
Performance: F1-Score = 0.9976
📂 Files in this Repo
Assignment_2.ipynb: The complete code notebook.
best_regression_model.pkl: The trained regression model.
best_classification_model.pkl: The trained classification model.
