End-to-end data science project predicting battery failures in EV fleets. It covers data preprocessing, feature engineering, model training, and evaluation for proactive maintenance and improved battery health.
data-science machine-learning xgboost fleet-management electric-vehicles predictive-maintenance battery-failure
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Updated
Mar 16, 2025 - Jupyter Notebook