In this tutorial, we describe the basics of solving a classification-based machine learning problem, and do a comparative study of two popular algorithms.
Jupyter notebooks are an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.
In this workshop we will use IBM Watson Studio to run a notebook. For this you will need an IBM Cloud account. The following steps will show you how sign up and get started. When you have the notebook up and running we will go through the notebook.
-
Sign up for an IBM Cloud account
-
When you are signed up click
Create Resourceat the top of the Resources page. You can find the resources under the hamburger menu at the top left:
- Search for Watson Studio and click on the tile:
- Select the Lite plan and click
Create. - Go back to the Resources list and click on your Watson Studio service and then click
Get Started.
- You should now be in Watson Studio.
- Click on the Projects option to create a New project.
- Select an Object Storage from the drop-down menu or create a new one for free. This is used to store the notebooks and data. Do not forget to click refresh when returning to the Project page.
- click
Create.
- Add a new notebook. Click
Add to projectand chooseNotebook:
- Choose new notebook
From URL. Give your notebook a name and copy the URLhttps://github.com/IBMDeveloperUK/Classification-Models-using-Python-and-Scikit-Learn/blob/main/Notebook/Classification_models.ipynb - Select the custom runtime enviroment that you created and click
Create Notebook. - The notebook will load.
You are now ready to follow along with the workshop in the notebook!