INSC60051

Prerequisites: Admitted to Masters of Science in Business Analytics program. This course is a survey course, introducing a range of programming tools and modeling techniques. No technical knowledge is assumed on the part of the student. Specifically, we will use the Python scikit-learn library via Jupyter notebooks and several R packages through the RStudio IDE. Through these tools, we will explore functions for unsupervised machine learning (k-means, k-medoids, hierarchical clustering) and supervised learning (logistic regression, decision trees, and naïve Bayesian) models. We will also explore artificial intelligence via functions for neural nets.