data
5 BigQuery Features Every Data Scientist Should Know
After working with BigQuery for almost five years, here are five features that I wish I knew about earlier in my career.
Jill Cates
👋 I'm Back!
I'm back from a one year hiatus and I'm excited to bring this blog back to life.
python
Handling Large Data with Pandas v2, Polars, and DuckDB
Let's learn how to handle large data with Pandas, Polars, and DuckDB.
python
PyCon US 2024 Recap
PyCon US is the largest Python conference in the world. This year, over two thousand people from around the world gathered at the David L. Lawrence Convention Centre in Pittsburgh, Pennsylvania to meet and talk about all things Python. PyCon runs over the course of one week - two days of
data science
Feature Engineering of Electronic Medical Records
A comprehensive overview of data cleaning and feature engineering techniques for clinical data
recommender
How to Build a Recommender Pipeline for Medical Research Papers
In 2006, Netflix, which was then a DVD rental service, announced a data science competition for movie rating predictions. The company would offer a $1 million grand prize to the team that could improve their existing recommender system's prediction accuracy by 10%. The competition garnered much interest from
python
Stable Matching Problem
Walks through the implementation of Gale-Shapely's algorithm in Python.