Template for getting started with automated ML Ops on Azure Machine Learning
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Updated
Jun 21, 2022 - Python
Template for getting started with automated ML Ops on Azure Machine Learning
Easy to deploy MLFlow(machine learning lifecycle system)
Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
This Repository is intended to help automate the MLFLOW with GCP setup. Feel free to use it and follow the README directions.
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