Automated machine learning for price prediction

So far, you have seen how AutoML Tables can be used for classification problems; that is, finding classes in a dataset. Now, let's do some regression; that is, predicting values. To do this, we will use the house sales prediction dataset. The King County house sales dataset contains prices for King County, which includes Seattle. The dataset can be downloaded from Kaggle at https://www.kaggle.com/harlfoxem/housesalesprediction.

For this experiment, our goal is to predict a house's sale value (price) by using 21 features and 21,613 observations or data points:

1. Let's start in AI Platform by clicking on the CREATE DATASET button on the main page:

   Figure 9.34 – AutoML Tables – getting started with the AI Platform home page

   Here, you must choose a dataset name and region, as shown in the following screenshot. Set the dataset's type to tabular since it currently has classification and regression automated...