Journey to Become a Google Cloud Machine Learning Engineer

Appendix 3: Practicing with Scikit-Learn

In Chapter 3, Preparing for ML Development, and Chapter 4, Developing and Deploying ML Models, we discussed the data preparation and ML model development process. In this appendix, we will continue learning about ML modeling skills by practicing using the scikit-learn package on the Google Colaboratory platform (colab.research.google.com).

With a step-by-step approach, we will show you how to develop ML models leveraging the scikit-learn library. We will cover the following practices:

• Data preparation
• Regression
• Classification

It is a best practice to follow these examples and make sure you understand each of them. Practicing each example on Google Colab will yield the best results.

Data preparation ...