This project predicts whether a customer will subscribe to a term deposit using machine learning techniques and banking marketing data.
- Python
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn
- Data preprocessing and feature encoding
- Exploratory Data Analysis (EDA)
- Classification model building
- Model performance evaluation
The project analyzes customer behavior patterns to support data-driven marketing strategies.
- Add advanced ML models
- Hyperparameter tuning
- Model deployment using Streamlit
- term_deposit_prediction_model.ipynb
- dataset.csv
- README.md