Teaching

Materials from classes I’ve taught:

• Data Mining (BI TECH CP303, Course Notes). This is an applied course covering practical tools for data mining and knowledge discovery. It is composed of three units: prediction of continuous outcomes, classification, and unsupervised learning. The goal is to provide experience in a breadth of applications and to prepare you for the job of an analyst, data scientist, or any role that calls for data mining.

• Collaborative Filtering (Girls Who Code). An introduction to recommender systems I taught at Girls Who Code. The tutorial walks through how to find users with similar taste then use their ratings to suggest new products.