Predict Bitcoin Prices With Machine Learning And Python [W/Full Code] скачать в хорошем качестве

Predict Bitcoin Prices With Machine Learning And Python [W/Full Code]

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