- Study of the key transportation factors in determining people's usage of health provider in Hamilton County, Ohio using Yep data, Austin Klum
- Bayesian network, Adam Steckbauer
- Marine life detection algorithm for aerial pictures, supported by USGS, Lucas Spellman, Simon Wagner
- Master Thesis: Tongue Detection Algorithm for Diabetes Diagnosis, Jianmu Deng
- Master Thesis: Self Driving Car, Yuanqing Suo
Student Sample Work
- Automated Stock Trading, GitHub, Mitchell Maegaard
- Statistical analysis of the proxy data for La Crosse County, La Crosse Tribune, Megan Dehn, Cassandra Quinn
- The RSA Pneumonia detection challenge (Kaggle Competition), Video, Christian Stohlmann
- Recurrent Neural network for Mario Cart, GitHub, Jinhuan Lei
- Diabetes detection via tongue picture diagnosis, PPT, Walker Christensen, Mitchell Maegaard
- A practical guide to Hadoop and Kafka, GitHub, Wanqian Huang
- Patient provider assignment (with LHI), PPT
- Estimating the treatment effects, Mayo Data Challenge, Cassie Quinn and Brandon Brunner. PPT
- Building self driving car using convolutional neural network, Jake Wolfe. Video
- Machine learning on detection of Higgs Boson, Elizabeth McMahon. Poster PPT
- Predicting survivability of Titanic Disaster Using Machine Learning. Poster PPT
- Quoting strategy, (with Fastenal Co.) Paper, Video Presentation
- Automated scheduling for the department of mathematics. Paper PPT
Past projects
2019
- Statistical analysis of the proxy data for La Crosse County, Megan Dehn, Cassandra Quinn
- Automated Stock Trading, Mitchell Maegaard
- Tongue detection algorithm for diabetes diagnosis, Graham Miller
- The RSA Pneumonia detection challenge (Kaggle Competition), Christian Stohlmann
- Master Thesis: Yelp restaurant recommendation algorithm using text review, Zeya Kong
- Master Thesis: Recurrent Neural network for Mario Cart, Jinhuan Lei
- A practical guide to Hadoop and Kafka, Wanqian Huang
- Diabetes diagnosis via tongue picture diagnosis, Walker Christensen, Mitchell Maegaard
- Developing patient-provider assignment algorithm for Logistic Health Inc, the industrial math student group
- Estimating treatment effect with propensity analysis, Brandon Brunner and Cassandra Quinn
- R tutorial for Marketing Analytical Models, Corey Calvin
- Housing price prediction: Zillow's challenge, Brandon Brunner and Hunter Droegkamp
- Master Thesis: Sale forecasting: regression, time series and LSTM, Yuxin Liu
- Application of LDA (Latent Dirichlet Allocation) model to text analytics problem
- Building self driving car using coevolutionary neural network, Jake Wolfe
- Machine learning on detection of Higgs Boson, Elizabeth McMahon
- Predicting survivability of Titanic disaster using machine learning (a Kaggle project), Elizabeth McMahon, Nicole Nelson
- Detection of SPA and profitability optimization, with Fastenal Co., PIC math students
- Inventory consumption and redistribution system ,with Fastenal Co., PIC math students
- Quoting strategy, with Fasetnal Co., PIC math students
- Mathematical modeling of air conditioner economizer, collaboration with TRANE, Tom Theisen, Jake Wolfe
- Crime analysis of Chicago and Milwaukee, Tom Theisen, Jake Wolfe
- Predicting freshmen retention rate of UW - La Crosse, collaboration with the institutional research office of UWL. Yu Guan, Laura Kaiser, Jack Meyers, Daniel Morrison and Alex Skelton
- Industrial parts unit pricing, collaboration with Fastenal Co. Alex Skelton
- Automated scheduling for the department of mathematics. Jack Meyers and Daniel Morrison
- Find exoplanets using Doppler Spectroscopy. Kelly Emmrich
- Sale forecasting, collaboration with Fastenal Co. Daniel Morrison
- Tennis scheduling for a local tennis club. Yu Guan and Jack Meyers