About

Comprehensive end-to-end machine learning pipeline for NASDAQ stock price prediction using time-series feature engineering, ensemble modeling, and API deployment. The workflow loads historical stock data, engineers 28 close-only features (lags and rolling statistics), trains Random Forest and Gradient Boosting models with date-based train/test splits, validates against a naive baseline, and deploys the best model as a production REST API.