/Optimizing-a-Pipeline-in-Azure

The main goal of this project was to build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn Logistic Regression model to solve a classification problem. Hyperdrive was used to optimize the model. This was then compared to an Azure AutoML run to see which of these approaches returns the best tuned model.

Primary LanguageJupyter Notebook

Stargazers