Hands-on Machine Learning -- Decision Trees

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition) by Aurélien Géron

Decision Trees
Discussion leader: Glenn Miller
This week we will discuss decision trees. Decision trees are useful for their interpretability as well as for their use as a building block in random forest and gradient boosting models (which will be discussed the following week). This material is in chapter six of the book.

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Agenda
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- 12:00 - 12:15 pm -- Arrival and socializing/breakouts
- 12:15 - 1:30 pm -- Decision trees
- Time permitting -- Additional breakouts

SDML members will be taking turns leading the chapter discussions. If you are interested in taking a chapter, send me a message. (A few people have told me I did not get their emails. If you don't hear back from me right away, please message me again.)

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Location
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This will be an online meetup until further notice.

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Questions?
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Join our slack channel or leave a comment below if you have any questions about the group or need clarification on anything.
  1. San Diego Machine Learning
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