Star Classification Using Logistic Regression

This data analysis project uses logistic regression to classify stars as either dwarfs or giants. The process consisted of cleaning and preparing the data to generate primary and alternative models. The primary model accurately classified stars at a rate of 89%. This data analysis project was completed under the direction of Dr. Akash Gupta (CSUN, BANA320).