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This project analyzes historical Bitcoin price movements using machine learning techniques and time series forecasting models. It utilizes a dataset containing Bitcoin news headlines and price data over time. Various statistical and machine learning methods, such as ARIMA, Prophet, and feature engineering, are used to predict future Bitcoin prices
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11
commits
8
commits