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Complete ML pipeline for Titanic survival prediction using Logistic Regression, Random Forest, XGBoost, and SVM includes EDA, preprocessing, tuning, and feature importance.
AI-powered project management assistant using ML to predict task delays, classify project risk, and optimize resource allocation. Features an NLP query interface, automated reporting, and a Streamlit dashboard. Built with FastAPI, scikit-learn, and XGBoost — runs locally, no cloud dependency required.