This project successfully demonstrates practical machine learning application in financial prediction, achieving exceptional accuracy while maintaining simplicity. The combination of robust data processing, intelligent feature engineering, and user-friendly application features creates a powerful tool for data-driven investment decisions.

Apple Stock Price Prediction

Prédiction du cours de l’action Apple à l’aide d’un modèle BiGRU.

End-to-end deep learning pipeline for financial time-series forecasting using LSTM networks. Processes Apple stock data, generates supervised sequences, trains an LSTM model, evaluates performance using RMSE, and visualizes key results including loss curves and forecast accuracy.

Apple stock price prediction using LSTM neural networks. Features real-time training progress, interactive web interface, and 40+ years of historical data analysis.