Predictive Modeling for COVID-19
Aaron Schram
|
|
My capstone featured a dataset from Kaggle that was created in order to test a Long Short-Term Memory (LSTM) Neural Network method for creating predictive models based off of B-cell data. The goal of the B-cell data was to use machine learning to determine a reliable method for predicting epitope regions antigens that these B-cells can map onto. For this project, I explored various methods of supervised learning to understand to process of creating a predictive model for a binary categorical response.
|
| |
National Hockey League (NHL) Data Analyses
Rochelle Ziemann
|
|
|
Predicting different performance statistics and finding differences amongst the players is becoming more popular in all sports. I chose to investigate the sport of hockey because it is my favorite sport to watch, plus Minnesota is considered the state of hockey. Included in this presentation will be analyses for differences between players and teams and finding what performance statistics best predict whether or not a team will make the playoffs.
|
