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In this lab, we will study the basic performance evaluation in machine learning, covering elementary concepts such as classification, regression, data fitting, clustering and much more.
You will work in an environment that is easy to use, and provides a couple of tools like manipulating data and visualizing results. We will use Google Colab, which comes with a variety of useful tools already installed.
You can also check out these cheet sheets for fast reference to the common libraries:
Cheat sheets:
The exercises will be solved in Python, using various popular libraries that are usually integrated in machine learning projects:
For this lab, we will use Google Colab for exploring performance evaluation in machine learning. Please solve your tasks here by clicking โOpen in Colaboratoryโ.
You can then export this python notebook as a PDF (File โ Print) and upload it to Moodle.