What is AutoML?

AutoML aims to ease the process of building ML models by automating commonly-used steps, such as feature preprocessing, model selection, and hyperparameters tuning. You will see each of these steps in detail in coming chapters and you will actually build an AutoML system to have a deeper understanding of the available tools and libraries for AutoML.

Without getting into the details, it's useful to review what an ML model is and how you train one.

ML algorithms will work on your data to find certain patterns, and this learning process is called model training. As a result of model training, you will have an ML model that supposedly will give you insights/answers about the data without requiring you to write explicit rules. ...

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