Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with early stopping, and evaluation with RMSE/MAE/MAPE. Includes visualizations of training loss, predicted vs actual prices, and short-horizon forecasts.
Personal website and portfolio built with plain HTML and CSS. Showcases selected machine learning projects, applied data work, and short notes on evaluation, forecasting, and building practical ML systems. Hosted with GitHub Pages.