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MDST Tutorials Repo

Welcome to the Michigan Data Science Team tutorials repository.

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You can view the tutorials in this github repository. If you want to interact with our code snippets, we have provided a simple solution on our google drive.

Fall 2018 tutorial schedule(tentative):

9/18: Intro to Software Tools for Data Science

9/25: Data Cleaning in Python(made by Adam Benson)

10/2: Intro to Basics in Machine Learning(made by Mukai Wang)

10/9: Linear Models(made by Mukai Wang)

[Fall Study Break 10/16; no tutorial]

10/23: Tree Models(made by Josh Gardner, modified by Mukai Wang)

10/30: Neural Networks(made by Jared Webb)

11/6: Unsupervised Learning(made by Mukai Wang)

11/14 

[Thanksgiving Week 11/20; no tutorial]

11/27: Intro to Flux(made by Jonathan Stroud) 

12/4:

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