PENDING Open for contribution: A end-to-end project that combines unsupervised machine learning for customer segmentation with scalable data pipelines. It uses MongoDB for data ingestion, Scikit-learn for clustering and Streamlit for interactive visualization — enabling actionable insights into e-commerce

eXplainable AI course

Detecting process failures in semiconductor fabrication using 590 sensor signals, statistical feature selection, and ensemble ML, applied to the real-world UCI SECOM dataset.