https://github.com/coder5omkar/rnn_stock_price_prediction
This repository contains a comprehensive implementation of stock price prediction models using Recurrent Neural Networks (RNNs), specifically SimpleRNN and LSTM architectures. The project focuses on predicting closing prices for four major technology stocks: Amazon (AMZN), Google (GOOGL), IBM (IBM), and Microsoft (MSFT).
https://github.com/coder5omkar/rnn_stock_price_prediction
Last synced: 6 months ago
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This repository contains a comprehensive implementation of stock price prediction models using Recurrent Neural Networks (RNNs), specifically SimpleRNN and LSTM architectures. The project focuses on predicting closing prices for four major technology stocks: Amazon (AMZN), Google (GOOGL), IBM (IBM), and Microsoft (MSFT).
- Host: GitHub
- URL: https://github.com/coder5omkar/rnn_stock_price_prediction
- Owner: coder5omkar
- Created: 2025-05-12T05:46:23.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-12T05:54:32.000Z (about 1 year ago)
- Last Synced: 2025-06-24T05:39:30.074Z (about 1 year ago)
- Size: 1.83 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Stock Price Prediction Using Recurrent Neural Networks (RNNs)
Repository Description
This repository contains a comprehensive implementation of stock price prediction models using Recurrent Neural Networks (RNNs), specifically SimpleRNN and LSTM architectures.
The project focuses on predicting closing prices for four major technology stocks: Amazon (AMZN), Google (GOOGL), IBM (IBM), and Microsoft (MSFT).