Step 1: Watson Service Creation

Create Watson Service in IBM Cloud and download sample data.

Create Watson Studio Service

Create Watson Studio Service

Create a project in Watson Studio

1. Start by creating a project

Create Project in Watson Studio

2. Project creation details

Create Project Details

Sample data

Download the sample training data file to your local computer from here:

3MB

GoSales.csv

The sample data is structured: in rows and columns, and saved in a .csv file.

You can view the sample data file in a text editor or spreadsheet program:

Preview of training data

Feature columns

Feature columns are columns that contain the attributes on which the machine learning model will base predictions. In this historical data, there are four feature columns:

• GENDER: Customer gender

• AGE: Customer age

• MARITAL_STATUS: “Married”, “Single”, or “Unspecified”

• PROFESSION: General category of the customer’s profession, such “Hospitality” or “Sales”, or simply “Other”

What do you want to predict?

You will be asked to choose the column label representing the values your model will predict.

In this tutorial, the label column is the IS_TENT column:

• IS_TENT: Whether or not the customer bought a tent

The model built in this tutorial will predict whether a given customer is likely to purchase a tent.

Steps overview

This tutorial presents the basic steps for building and training a machine learning model using model builder in Watson Studio:

1. Build and train the model
2. Deploy the trained model
3. Test the deployed model