Description
This is a (Python-based project) that leverages machine learning and neural network algorithms to predict stock market prices. The project uses libraries like NumPy, pandas, and TensorFlow to build and train the model.
Features
- Data preprocessing using pandas and NumPy
- Stock price prediction using LSTM neural networks
- Visualization of actual and predicted prices using Matplotlib
Why Should Someone Care?
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Investment Decisions: This project can serve as a basis for those interested in using machine learning to make more informed investment decisions.
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Educational Value: For those learning machine learning or finance, this project provides a practical example.
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Open Source: The project is open-source, allowing for collaboration and further development.
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Customization: The code is modular and can be easily customized to predict prices for different stocks or time frames.
Installation
Clone the repository and run main.py
to start the prediction model.