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NOTE: This file is a template that you can use to create the README for your project. The TODO comments below will highlight the information you should be sure to include.

Your Project Title Here

TODO: Write a short introduction to your project.

Project Set Up and Installation

OPTIONAL: If your project has any special installation steps, this is where you should put it. To turn this project into a professional portfolio project, you are encouraged to explain how to set up this project in AzureML.

Dataset

Overview

TODO: Explain about the data you are using and where you got it from.

Task

TODO: Explain the task you are going to be solving with this dataset and the features you will be using for it.

Access

TODO: Explain how you are accessing the data in your workspace.

Automated ML

TODO: Give an overview of the automl settings and configuration you used for this experiment

Results

TODO: What are the results you got with your automated ML model? What were the parameters of the model? How could you have improved it?

TODO Remeber to provide screenshots of the RunDetails widget as well as a screenshot of the best model trained with it's parameters.

Hyperparameter Tuning

TODO: What kind of model did you choose for this experiment and why? Give an overview of the types of parameters and their ranges used for the hyperparameter search

Results

TODO: What are the results you got with your model? What were the parameters of the model? How could you have improved it?

TODO Remeber to provide screenshots of the RunDetails widget as well as a screenshot of the best model trained with it's parameters.

Model Deployment

TODO: Give an overview of the deployed model and instructions on how to query the endpoint with a sample input.

Screen Recording

TODO Provide a link to a screen recording of the project in action. Remember that the screencast should demonstrate:

  • A working model
  • Demo of the deployed model
  • Demo of a sample request sent to the endpoint and its response

Standout Suggestions

TODO (Optional): This is where you can provide information about any standout suggestions that you have attempted.

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