Professional Cloud Architect – Google Cloud Certification Guide

Gathering and preparing the data

Let's start gathering data by buying multiple apples and lemons. We will start with the creation of tables with two features – color and sugar content.

Color is described in terms of wavelength interval in nanometers (nm).

This is an example involving a couple of fruits, but we need far more samples in order to obtain accurate predictions:

Color [nm]	Sugar content [g]	Fruit
590	10	Apple
570	2	Lemon
610	15	Apple
500	3	Lemon

At this stage, we should try to visualize the data to make sure we haven't collected too many fruits of one kind; otherwise, the model will be biased toward that fruit.

Now, we need to split the data into training and evaluation data. The data ...