Abstract
Course: ARTI 300/350 (AI Concepts and Problem Solving / Machine Learning)
Students apply machine learning and AI knowledge to process, analyze, and interpret data for creating effective models and systems used to support decision making and problem solving in business environments.
Samples
These samples (not mobile friendly) are best viewed as HTML exports of the source Jupyter Notebooks.
Titanic Dataset
Data preprocessing and exploratory data analysis are applied to a Titanic passenger dataset in preparation to create and train a prediction model.
Group Project
Data preprocessing, exploratory data analysis, and feature engineering are applied to a customer dataset in preparation to create a model for predicting a purchase decision and understanding potential customers.
I completed this project collaboratively with Kyle Bowen.