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EDA.ipynb
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EDA_other_factors.ipynb
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EMVOVERALLEMV.csv
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Final Paper_ Twitter 7 Bitcoin.docx
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README.md
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Resources.docx
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Twitter API Calls
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Twitter Sentiment Model.ipynb
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USEPUINDXD.csv
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bitcoin_prediction_classification.ipynb
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twitter_model_analysis.ipynb
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bitcoin_price_prediction

A Final Group Project completed in course W207 "Applied Machine Learning" at UC Berkeley's MIDS program.

The goal was to predict bitcoin price movement using classificaiton (0 no change/decrease in BTC and 1 rise in BTC) and regression (by how much did BTC increase).

The code was done via python on Jupyter Notebooks.

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