The following chart represents the end-to-end process of loading data into Cloud Storage and BigQuery, and training a model and testing it using the leads data. You can choose a dataset of your choice:

From the preceding diagram, we can see the following:

1. We have loaded the training and test dataset for leads into Cloud Storage buckets.
2. After loading data into Cloud Storage, we will create the leads dataset into BigQuery with two tables, namely, leads_training and leads_test.
3. Once the dataset is created, we will use the leads_training table to train our model and the leads_test table to test the model.

We will discuss each step in detail in the following sections.