If you wanted to design a course with these topics, which exercises would you choose to give as assignments in each step?
Please choose 5 exercises for each step.
Thank you very much.
Exercism doesn’t have any machine learning exercises.
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I know that. I didn’t crop them to include more background data on what is more suitable for those learner.
and please tell me where to find exercises for those parts if you know any.
Hi @MMahda 
As Isaac has stated above, we do not have any exercises geared toward ML/DataSci/Ai, nor are we (at this time) interested in designing any.
Our intent is to teach fluency in core Python and general-purpose programming. To that end, we encourage students to work through all of our learning and practice exercises - not as a prerequisite to other courses or learning, but to build up a habit of iterating on small challenges to improve programming and problem solving strategies.
For machine learning, I’d check out places like Kaggle, Rosialind, Analytics Vidhya, MachineHack, or Deeplearning Ai.
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thank you. so have you any priorities among the exercises? maybe some of them are more informative and useful for students than others?
We generally recommend the practice exercises be done from easy to hard after completing the syllabus.
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