Stock Market Prediction via Twitter Sentiment
Built an end-to-end ML pipeline on 150K+ tweets across 25 stocks. Engineered 13+ features combining sentiment scores, moving averages, and volatility patterns. Achieved strong predictive accuracy using ensemble and deep learning models.