Stock Price Prediction using Machine Learning

An AI-driven project that analyzes historical stock market data and predicts future closing prices using machine learning techniques.

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Features

• Historical stock price analysis
• Data cleaning and preprocessing
• Next-day stock price prediction
• Visualization of actual vs predicted prices
• Simple and interpretable machine learning workflow

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Technology Stack

• Python
• Pandas & NumPy – data preprocessing
• Matplotlib – data visualization
• Scikit-learn – Linear Regression

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How It Works

1. Load historical stock price data
2. Preprocess and extract closing prices
3. Train a machine learning model
4. Generate stock price predictions
5. Visualize prediction results

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License

This project is licensed under the MIT License – see the LICENSE file for details.

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Acknowledgments

• scikit-learn for machine learning algorithms
• pandas & NumPy for efficient data processing
• Matplotlib for visualization support
• Open-source community for continuous learning and inspiration

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Contact

• Author: Pooja S
• Email: poojashree2266@gmail.com
• GitHub: Pooja0629

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Project Links

• Repository: https://github.com/Pooja0629/Stock-Price-Prediction
• Issues: https://github.com/Pooja0629/Stock-Price-Prediction/issues

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Understanding stock market trends through data-driven machine learning insights.