Summary
In this chapter, we learned what structured data is and its different categories, how to feed our AutoKeras models with different structured data formats (pandas, CSV files, and so on), and how to load and explore tabular datasets using some pandas functions.
Finally, we applied these concepts by creating a powerful structured data classifier model to predict Titanic survivors and a powerful structured data regressor model to predict Boston house prices.
With that, you have learned the basics of how to tackle any problem based on structured data using AutoKeras. With these techniques, any CSV
file can be a dataset that you can train your model with.
In the next chapter, we will learn how to perform sentiment analysis on texts using AutoKeras.