Collection of Jupyter notebooks covering classical machine learning and deep learning building blocks. Each notebook walks through one technique end to end, from data preparation to evaluation, using scikit-learn, TensorFlow, and PyTorch on small public datasets that fit in memory.
Regression model that predicts the first-innings total in an Indian Premier League cricket match given the batting team, bowling team, venue, current score, and overs bowled. Trained on ball-by-ball data from 2008 to 2019 and served behind a Flask form so anyone can plug in a live match state.
Fake news classifier built during Smart India Hackathon 2020 (internal winner) and Hack Infinity 2.0 (runner up). A passive aggressive classifier trained on the LIAR dataset scores news headlines as real or fabricated, with a Django front end that lets the user paste a link or text snippet to check.