Prepping data for many models

While training thousands of ML models simultaneously sounds complicated, the MMSA makes it easy. The example included in the notebooks uses the OJ Sales data you used in Chapter 6, Building an AutoML Forecasting Solution. You will prepare the data simply by opening and running 01_Data_Preparation.ipynb. By reading the instructions carefully step by step and working through the notebook slowly, you will be able to understand what each section is about.

Once you're able to understand what each section is doing and you have the OJ Sales data loaded, you will be able to load the new dataset into your Jupyter notebook. This way, by the end of this section, you will be able to load your own data into Azure, modify it for the MMSA, and master the ability to use this powerful solution.

Prepping the sample OJ dataset

To understand how the first notebook works, follow these instructions in order:

1. Open 01_Data_Preparation.ipynb.
2. Run all...