The four steps of the standard process of building models that we consider in this course are:

  • Data preparation
  • Data exploration
  • Model training
  • Model evaluation

You will find the following hands-on resources for each step:

  • 2 videos dedicated to each step of the standard process: One video with a general explanation of the main actions in that step; one with a detailed explanation in a particular example (Solved exercise) that illustrates the given step of the standard process;
  • Tutorials: Supporting documents with detailed explanations of the concepts given in the videos. In addition, the tutorials also have more examples that allow you to see how the concepts are applied in practice. The tutorials can be read from start to finish or used as a reference source whenever you need to know more about something;
  • Cookbooks: Collections of small programs that solve typical situations. In general, cookbooks are useful when you want to solve a routine problem and need code examples to make your work easier.

Additional notebook resources:

Additionally, for each step of the standard process of building models, you can find challenges to check your acquired skills and level of autonomy with the content at hand. They are in the form of partially solved exercises and open exercises which aren't counted towards your grade. This is for what is called self-regulated learning.