📊 New Project: Predicting Bank Term Deposits with XGBoost

I've been diving deep into #MLZoomcamp and just finished containerizing a marketing prediction model.

Key highlights:

✅ Handled imbalanced data (88% vs 12%) using AUC as the primary metric.

✅ Trained an XGBoost model with hyperparameter tuning in a Jupyter Notebook.

✅ Built a Flask API to serve real-time predictions.

✅ Containerized the entire environment with Docker for easy deployment.

🔗 GitHub Repo:

Thanks

#mlzoomcamp

Alexey Grigorev