The digital home of the Michigan Data Science Team. Inquire below.

Competitive Data Science at Michigan


Welcome!

Click HERE to join MDST

Internal Site

MDST’s Internal Site hosts information about our active members, all of our active projects, and a comprehensive list of data science resources.

Meeting Times for Fall 2018

  • Mass Meeting: Thursday, September 13 at 5pm in Weiser 170
  • Project Team Meetings: TBD

Check the calendar to confirm there is a meeting!

Tutorials

Tutorials will be hosted Tuesdays at 5pm in DOW 1018, starting September 18. Check the calendar for updates. All resources for our tutorials are available on our new site.

 


The Michigan Data Science Team (MDST) is a competitive collegiate data science team at the University of Michigan, Ann Arbor. Together, we compete against professional and amateur data scientists from around the world in online prediction challenges.

Competitive data science has become increasingly prominent in the past decade with the immense popularity of high-profile competitions such as The Netflix Prize. Now, online venues such as Kaggle, DrivenData, and Quantopian, among others, provide platforms for data scientists around the world to make impactful contributions to a huge variety of prediction problems while competing for cash prizes. Previous competitions have explored prediction problems in healthcare, particle physics, finance, and countless other domains, and have involved many types of structured and unstructured data.

We are an organization at the University of Michigan in MIDAS that is looking for dedicated students who are interested in taking part in data science competitions. Ideally, students will have a strong background in computer science, mathematics, and statistics, but all students are welcome to participate. We will be meeting on a weekly basis throughout the year, where students can share strategies and give tutorials. Anyone is welcome to attend these meetings! For your hard work and dedication, we will be offering internal prizes to the students who achieve the highest performance on our prediction challenges.

Past Projects

MDST Places in the Parkinson’s Biomarker Challenge

| MDSTPosts, MDSTProjects | No Comments
Participants: Junhao Wang, Arya Farahi and Xinlin Song (Challenge 1); Yi-Lun Wu, Chun-Yu Hsiung and Xinlin Song (Challenge 2) Parkinson’s disease (PD) is a degenerative disorder of central nervous system…

MDST Competes in the Midwest Undergraduate Data Analytics Competition

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Authors: Weifeng Hu and Divyansh Saini The Competition We represented the Michigan Data Science Team (MDST) in the Midwest Undergraduate Data Analytics Competition hosted by MinneAnalytics in Minnesota. We were provided…

MDST – NFL Free Agency Value Prediction Competition Kick-Off – Nov. 9, 6pm

| Data, Data sets, Educational, Events, Happenings, MDSTPosts, MDSTProjects, News | No Comments
In this competition, student teams at the University of Michigan will use historical free agent data to predict the value of new contracts signed in the 2018 free agency period.…

MDST announces Detroit blight data challenge; organizational meeting Feb. 16

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The Michigan Data Science Team and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit on a data challenge that seeks to answer the…

MDST gratefully acknowledges the support of DataCamp.

Current Posts

MDST group wins KDD best paper award

| General Interest, Happenings, MDSTPosts, Research | No Comments
A paper by members and faculty leaders of the Michigan Data Science Team (co-authors: Jacob Abernethy, Alex Chojnacki, Arya Farahi, Eric Schwartz, and Jared Webb) won the Best Student Paper…

MDST Places in the Parkinson’s Biomarker Challenge

| MDSTPosts, MDSTProjects | No Comments
Participants: Junhao Wang, Arya Farahi and Xinlin Song (Challenge 1); Yi-Lun Wu, Chun-Yu Hsiung and Xinlin Song (Challenge 2) Parkinson’s disease (PD) is a degenerative disorder of central nervous system…