MDST Tutorials Repo
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: