Anu0408/Truck_Delays_Classification-End-to-End-Machine-Learning-Application

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.

Language: Jupyter Notebook - Size: 19 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Easy2-Dev/Docker-for-Laravel-with-PotgreSQL

Language: Makefile - Size: 27.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0