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Crypto Currency Price Prediction
CRYPTOCURRENCY PRICE PREDICTION https://github.com/samuzaffar99/Crypto-Price-Pred The following files/folders are present: -Crypto_ProjectReport.docx --The project report -fbprophet.ipnyb --Contains the main prediction model -data/ --Contains the dataset for various cryptocurrencies -extra/ --Contains rejected models/test files The following models/techniques were used/explored: - Facebook's Prophet Model - The main prediction model used in this project. - Time Series Analysis - ARIMA - SARIMAX - XGBoost How to use the model? -To run the fbprophet.ipnyb file, one must first install all the required dependencies (in the import section). The first few cells will load the dataset. A list of coins whose dataset is available will be shown: Aave BinanceCoin Bitcoin Cardano ChainLink Cosmos CryptocomCoin Dogecoin EOS Ethereum Iota Litecoin Monero NEM Polkadot Solana Stellar Tether Tron Uniswap USDCoin WrappedBitcoin XRP -Set the variable coin to the string of the Cryptocurrency's name that you went to predict. -Run all the cells -Cell #12 will have the predictions shown in a graph The black line is the actual data, the blue line is the prediction. The light blue region is the confidence interval. -Other details are also shown (performance metrics, RMSE, seasonal trends). You may need to scroll some diagrams. -Estimated time to run the notebook locally is 5-10 mins on an 8-Core CPU. It is advised to run it in google colab.
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