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dsc-dealing-with-categorical-variables's Issues

Needs Clarification

Two methods of dealing with categorical variables are introduced, label encoding and one hot encoding. However, it does not clarify which one to use when. Seems like label encoding might only have very limited applications and one hot encoding is essential in dealing with categorical variables. It would be helpful to have clarification on the right application of each one.

For reference:
https://medium.com/@contactsunny/label-encoder-vs-one-hot-encoder-in-machine-learning-3fc273365621

Simple typographical error in the lesson

Link to Canvas

Issue Subtype

  • Master branch code
  • Solution branch code
  • Code tests
  • Layout/rendering issue
  • Instructions unclear
  • Other (explain below)

Describe the Issue

Source

Now you'll want to make sure Python recognizes there strings as categories. This can be done as follows:

Concern

This sentence does not read clearly. I believe that maybe it was intended to read "... Python recognizes these ..."

(Optional) Proposed Solution

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Any Additional Context?

Hi Erin, Nice new form for entering the issues.

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