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Credit Scoring Project

A machine learning project that predicts whether a customer has Good Credit or Bad Credit based on financial information.

Technologies Used

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • Jupyter Notebook

Features

  • Data preprocessing
  • Label encoding
  • Random Forest Classification
  • Credit prediction
  • Model evaluation

Output

  • Accuracy: 100%
  • Example Prediction: Good Credit

Author

Simran Singh

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