This repository contains the files and datasets used in the exercises and the demos in nd064 c1, c2, and capstone.

• AutoML.ipynb: This files is also available in the Udacity public repo here. It is used in the Cloud Lab - AzureMLStudio-3 lab in C1.

In this exercise, we'll take the NBA data we used in an earlier exercise and try using AutoML on it. You do need to upload the CSV into the Data section.

• Click on the Data option on the left blade.
• Click on the + Create button.
• Provide a dataset name, say Nba-dataset.
• Choose the Dataset type as Tablular from ML v1 API, and click Next.
• Choose the From web files and provide the dataset file link to use in your ML Studio: https://experienceazure.blob.core.windows.net/templates/udacity-nanodegree/nba-2017-players-with-salary-wiki-twitter.csv
• Accept the remaining configuration as default, and finish creating the Dataset.