Predict Bitcoin Prices With Machine Learning And Python WFull Code

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We'll predict the future price of Bitcoin using historical price and sentiment data. We'll use data on the USD/BTC price from Yahoo Finance, along with data from Wikipedia about edits to the Bitcoin page. • We'll merge and combine this data, then use it to train a random forest model that will tell us if Bitcoin prices will increase or decrease tomorrow. We'll then switch to an XGBoost model and better predictors to improve accuracy. • We'll develop a backtesting system and use a robust error metric so we can tell if the algorithm is performing well. This system will also be able to make next-day predictions. • This project can be extended to other cryptocurrencies, or be used to predict multiple days ahead. • You can find the full code and README here - https://github.com/dataquestio/projec... . • Chapters • 0:00 Project overview • 02:33 Downloading edits from Wikipedia • 04:57 Finding the sentiment of page edits • 14:17 Converting sentiment data into a DataFrame • 19:32 Downloading Bitcoin price data • 23:49 Preparing data for machine learning • 27:38 Training our baseline ML model • 32:07 Evaluating error with backtesting • 37:05 Using an XGBoost model • 39:12 Improving precision with trends • 46:03 Generating future predictions • 46:56 Next steps to improve the model • --------------------------------- • Join 1M+ Dataquest learners today! • Master data skills and change your life. • Sign up for free: https://bit.ly/3O8MDef

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