This repository features a course assignment for CHE-1148 (Process Data Analytics), concentrating on MLOps, data quality, model drift, and interpretable/explainable machine learning. The included Jupyter Notebook demonstrates a project that generates partial dependence plots for a random forest model predicting client responses to a promotional campaign.
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