/CryptoProphet

A python based project to predict the future prices of the top 10 trending cryptocurrencies using ML Algorithms like SVR, Decision Tree and LSTM with an interactive frontend using streamlit. Analysis using PowerBi and has DBMS connectivity.

Primary LanguagePythonMIT LicenseMIT

Screenshot (8)

Cryptocurrency-Prediction

A python based project to predict the future prices of the top 10 trending cryptocurrencies using ML Algorithms like SVR, Decision Tree and LSTM with an interactive frontend using streamlit.

Libraries used

Streamlit sklearn pandas tensorflow yfinance

Algorithms Used

Support Vector Regeression (SVR) RNN-LSTM (Recurrent Neural Networks & Long Short Term Memory) Decision Tree Linear Regression

Output Screenshots

Analysis:

Screenshot (95)

SVR:

Screenshot (96)

LSTM:

Screenshot (97)

PowerBI:

Screenshot (98)