An end-to-end machine learning project that predicts automotive parts shortages for a major automotive manufacturing and distribution company. This project showcases data preprocessing, exploratory analysis, feature engineering, and robust predictive modeling (including XGBoost) to drive actionable insights under a strict NDA.
python machine-learning datascience xgboost data-analysis feature-engineering data-analysis-python predictivemodeling automotive-parts eda-analysis
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Updated
Mar 14, 2025 - Jupyter Notebook