Welcome to the Michigan Data Science Team tutorials repository.
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: