Learning AWS IoT

Preparing data

After we determined a machine learning model, we can prepare the data. In this project, I generated random values for temperature and humidity. You can see this data in the following graph:

We should make the data in a CSV file. We build three columns—Temperature, Humidity, and watering. You can see these data in the following screenshot. The watering column is used for the target decision for each row's data:

Save the data into the CSV file, for instance, Temp-Hum-Water.csv.

We also need to create a data schema. You should create ...