Stock Market Forecasting
Implemented Lstm neural networks in Python to forecast stock market trends and prices based on historical data. Conducted data preprocessing to handle missing values and normalize the dataset. Achieved accurate predictions validated against actual market performance using metrics like Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). Visualized.