Machine Learning - Project Checklist

27.10.20

Hi,

this checklist can guide you through your Machine Learning projects. There are eight main steps:

  1. Frame the problem and look at the big picture.

  2. Get the data.

  3. Explore the data to gain insights.

  4. Prepare the data to better expose the underlying data patterns to Machine Learning algorithms.

  5. Explore many different models and shortlist the best ones.

  6. Fine-tune your models and combine them into a great solution.

  7. Present your solution.

  8. Launch, monitor, and maintain your system.

Regards!

Note: this is an extraction of the Book Hands-on Machine Learning by Aurélien Géron

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