Naive Bayes Loan Prediction

A basic machine learning project that predicts loan approval status using a Naive Bayes classifier. This project demonstrates the steps of data preprocessing, model training, evaluation, and prediction with a focus on simplicity and clarity.

Project Structure

• data/: Contains the dataset used for analysis and prediction.
• notebooks/: Jupyter notebooks for data analysis, feature engineering, and model building.
• README.md: Project overview and usage instructions.

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Features

• Cleans and preprocesses loan application data.
• Trains a Naive Bayes classifier to predict loan approval.
• Evaluates model accuracy with basic metrics.
• Saves the trained model for reuse.
• Allows new predictions with saved model.

Tools & Libraries

• Python 3.x
• Pandas
• NumPy
• Scikit-learn
• Jupyter Notebook
• Pickle

How to Use

1. Clone the repository:

   git clone https://github.com/nurulashraf/naive-bayes-loan-prediction.git
   cd naive-bayes-loan-prediction

2. Install dependencies:

   pip install -r requirements.txt

3. Run the notebook:

   Open notebooks/naive_bayes_loan_prediction.ipynb and step through the cells to see data preprocessing, model training, and evaluation.

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License

This project is licensed under the MIT License.