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Write an exercise that attendees should be able to complete after the course #4

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colinsauze opened this issue Jul 16, 2019 · 1 comment
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@colinsauze
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This will help determine what the whole lesson is trying to get people to be able to achieve.

@mgalland
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mgalland commented Jul 16, 2019

Suggestions:

  1. Attendees should be able to split a dataset into a train + a validation + a test set.
  2. Attendees should be able to choose the right algorithm based on characteristics of their dataset and their output (categories, continuous). Something like: https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
  3. Attendees should be able to perform a grid search to search for the best algorithm parameters.
  4. Attendees should be able to import various datasets in Python preferably (?) using pandas.

😃 please expand 😃

@colinsauze colinsauze added the help wanted Extra attention is needed label Feb 22, 2021
colinsauze pushed a commit that referenced this issue Sep 25, 2024
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