Time-Series-Stock-Price-Prediction-using-LSTM-Model
steveee27
This project implements a LSTM (Long Short-Term Memory) model to predict stock prices of AAPL (Apple Inc.) and AMD (Advanced Micro Devices) using historical data. The dataset includes stock prices with features like Open, High, Low, Close, Adjusted Close, and Volume. The model is trained using LSTM to learn the temporal dependencies in the data.
Growth over time
2 data points · 2025-03-01 → 2026-04-01How do you feel about this project?
Ask AI about Time-Series-Stock-Price-Prediction-using-LSTM-Model
Question copied to clipboardWhat is the steveee27/Time-Series-Stock-Price-Prediction-using-LSTM-Model GitHub project? Description: "This project implements a LSTM (Long Short-Term Memory) model to predict stock prices of AAPL (Apple Inc.) and AMD (Advanced Micro Devices) using historical data. The dataset includes stock prices with features like Open, High, Low, Close, Adjusted Close, and Volume. The model is trained using LSTM to learn the temporal dependencies in the data.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
How to clone Time-Series-Stock-Price-Prediction-using-LSTM-Model
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipFound an issue?
Report bugs or request features on the Time-Series-Stock-Price-Prediction-using-LSTM-Model issue tracker:
Open GitHub Issues