Welcome.

Jill Cates

Data Scientist &
Software Developer

I'm a data scientist at Shopify, working on some of the most interesting problems in the e-commerce space. I'm passionate about applying machine learning techniques to new disciplines and taking a data-driven approach to decision-making.

Feature Engineering of Electronic Medical Records

12 minute read

feature engineering data cleaning healthcare

A comprehensive overview of data cleaning and feature engineering techniques for clinical data

How to Build a Recommender Pipeline for Medical Research Papers

11 minute read

project recommender system implicit feedback collaborative filtering

A step-by-step guide to building a recommender pipeline, from data wrangling to model evaluation

A Brief Introduction to Recommender Systems

8 minute read

recommender system collaborative filtering content-based filtering

Covers implicit and explicit feedback, collaborative and content-based filtering, and techniques to evaluate recommender systems.

Stable Matching Problem

6 minute read

combinatorial theory algorithm python

Walks through the implementation of Gale-Shapely’s algorithm in Python.

Feature Selection with PyPunisher

1 minute read

feature selection information criterion python

Describes a Python package that performs stepwise forward and backward feature selection.