Welcome to the Michigan Data Science Team tutorials repository.
Recordings from the fall 2017 tutorial series will be available here as they become available.
Tentative Fall 2017 tutorial schedule:
9/19: Intro to Pandas and Data Wrangling in Python
9/26: Presenting Research and Creating Posters for Data Science (UM ScholarSpace pre-MIDAS Symposium Special Tutorial)
10/3: Linear Models and Scikit-Learn Intro
10/10: Decision Trees and other tree-based models
[Fall Study Break 10/17; no tutorial]
10/24: Introduction to Neural Networks
10/31: Hyperparameter Tuning, Regularization, and Model Evaluation
11/7 Reproducible Data Science: Version Control and Data Science Pipeline Tools
11/14 Quicken Loans Competition Tutorial
[Thanksgiving Week 11/21; no tutorial]
11/28: Flux
12/5: Baltimore Ravens Competition Tutorial