End-To-End-MLOPS-Airline-Project
PublicThis project aims to predict the number of passengers, freight quantity, and mail quantity for American airlines operating between Canadian and U.S. airports using an MLOps approach. It involves automating the data pipeline, from data extraction and preparation to model training and evaluation, leveraging tools like DVC, MLflow, and Docker for vers
Creat：2024-08-21T18:19:41
Update：2024-11-19T00:57:25
1
Stars
0
Stars Increase