labrijisaad/Kedro-Energy-Forecasting-Machine-Learning-Pipeline

This repo showcases a project that transforms ML model training into a simplified, production-ready Kedro Dockerized Pipeline. It emphasizes best MLOps practices, enabling easy training, evaluation, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.

Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 8 - Forks: 1