https://github.com/ganeshborkar31/equity_market

Developed a stock market analysis and prediction tool using neural networks and Prophet, achieving an average 0.85 R² score , providing accurate and real-time insights via Streamlit. This helps investors to enhances investment strategies.
https://github.com/ganeshborkar31/equity_market

api-gateway deep-neural-networks finance machine-learning stock-analysis stock-market streamlit-webapp time-series time-series-analysis time-series-forecasting yfinance-api

Last synced: about 1 year ago
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Developed a stock market analysis and prediction tool using neural networks and Prophet, achieving an average 0.85 R² score , providing accurate and real-time insights via Streamlit. This helps investors to enhances investment strategies.

• Host: GitHub
• URL: https://github.com/ganeshborkar31/equity_market
• Owner: ganeshborkar31
• Created: 2024-03-14T19:08:52.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-09T01:46:31.000Z (about 1 year ago)
• Last Synced: 2025-03-09T02:20:03.763Z (about 1 year ago)
• Topics: api-gateway, deep-neural-networks, finance, machine-learning, stock-analysis, stock-market, streamlit-webapp, time-series, time-series-analysis, time-series-forecasting, yfinance-api
• Language: Jupyter Notebook
• Homepage:
• Size: 15.9 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
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