This is part two of a two part series. Part one focuses on NLP and building a recommender. This article focuses on the deployment of my coffee recommender on Streamlit.

In part one of this mini-series, I walked through some of the process for scraping, preprocessing, and performing topic modeling on coffee reviews to build a recommendation system. Picking up from where I left off, I wanted deploy my model, along with a few other tools, to an online app that others could access. While there are many options for this process (Flask, Heroku, etc.), …


A review—and a discussion—of two recent books on data and bias

So, you’ve created a model. Maybe it’s highly predictive, you are excited about how well it scores in your target metrics, and you’ve been rigorous in your processes throughout. Is your model good or is it doing good?

Will we do good with our new knowledge? — Photo by Gabriele Lasser on Unsplash

As part of my working through the immersive data science program at Metis I completed a short side presentation on the concerns of ethics in technology, particularly in relation to our work in data science. I focused on the two books above, Weapons of Math Destruction by Cathy O’Neil and Algorithms of Oppression by Safiya Umoja Noble. …


This is part one of a two part series. This article focuses on the set up and NLP processes for a recommendation engine. Part two focuses on deploying a Streamlit app.

For many, the day really begins with the first sip of coffee in the morning. This magical beverage has been with us for centuries, but the proliferation of roasters and offerings in the market has accelerated in the last couple decades. As the market shifted from First Wave (think Folgers), through Second Wave (think Starbucks), and into Third Wave (think your local roaster) shelves and online points of sale…


I woke up on a cold Chicago January morning to the exciting news that the White Sox had recently signed a new player, Liam Hendriks. For an up and coming team, adding an All-Star to anchor their bullpen was an exciting prospect and a sign that the team was investing in making a competitive leap for 2021. Most of my experience watching Hendriks play came just months previously, when his Oakland A’s defeated the White Sox in the opening round of the playoffs. …

Ethan Feldman

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