In this section, you're going to learn about how to load and process data for training in a data science model.

You will start by examining how to load and process numeric data. You'll learn about scaling, clipping, scrubbing, and replacing data. Next you'll learn how to deal with string data. You'll learn about converting and one-hot encoding strings, and how to handle numeric categories. Then you will learn how to process geographical data with binning, one-hot encoding, and crossing.

Finally you'll learn how to process text data by tokenizing sentences and creating a sparse vector encoding.