Stock Price Forecasting with Time Series & Deep Learning A project to forecast stock prices using ARIMA, SARIMA, Prophet, and LSTM models. It compares classical and deep learning methods on historical stock data to predict future trends. The LSTM model achieved low training loss (~1.3e-4). An interactive Streamlit dashboard is included