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Bitcoin Price Prediction is a machine learning project focused on forecasting the future price of Bitcoin using historical market data and advanced predictive modeling techniques. The goal of the project is to analyze past price trends and train models that can provide insights into potential future movements of Bitcoin’s value.

The system collects and processes historical Bitcoin price data, performs feature engineering and time‑series analysis, and then trains predictive models to learn patterns in the data. After training, the models are evaluated on unseen data to measure their performance and accuracy in forecasting price trends.

This project uses Python and machine learning libraries to build and test the prediction models. It demonstrates how data science techniques can be applied to financial time series forecasting and helps explore the potential of predictive analytics in cryptocurrency markets.

Bitcoin Price Prediction can be useful for researchers, data scientists, and traders who are interested in understanding market behavior and applying machine learning to financial forecasting problems.

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