GitHub repository: sadovsd/crypto-price-prediction-ML-pipeline
Primary language: Jupyter Notebook
Description: Forecasting Ethereum return quantiles using a handful of different statistical learning models and selecting the best based on out of sample error. Hopsworks feature store and model registry is used to automate the process. Ethereum quantile returns are predicted daily and displayed on a Streamlit dashboard.