# 55: Machine Learning Application in Engineering

Project ID: 55
Team Members: Isabella Reyna, Philip Adams, Dorian Villegas, Thi Nguyen, Shahab Ghandi
Faculty Advisor(s): Aera LeBoulluec
Department: Industrial, Manufacturing & Systems Engineering
Project Type: Other Undergraduate
Title: Machine Learning Application in Engineering
Abstract: We will apply machine learning algorithms, such as regression and neural networks, to a data set that has over 1,000 data points. We will use the Python programming language for this project. Our objective will be to predict a response variable using at least five predictor variables.
Poster: View Poster #55 (PDF)
Judges Scoring: Submit Evaluation (judges only)