Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.
aws random-forest xgboost logistic-regression feature-engineering hyperparameter-tuning dataanalysis datacleaning gridsearchcv dataexploration dataingestion mlops mlflow datatransformation featurestore hopsworks dockerpostgresql featuregroup
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Updated
Nov 30, 2024 - Jupyter Notebook