George McIntire, ODSC

George McIntire, ODSC

Contributing Data Science Writer

Bio: I'm a journalist turned data scientist/journalist hybrid. Looking for opportunities in data science and/or journalism. Impossibly curious and passionate about learning new things. Before completing the Metis Data Science Bootcamp, I worked as a freelance journalist in San Francisco for Vice, Salon, SF Weekly, San Francisco Magazine, and more. I've referred to myself as a 'Swiss-Army knife' journalist and have written about a variety of topics ranging from tech to music to politics. Before getting into journalism, I graduated from Occidental College with a Bachelor of Arts in Economics. I chose to do the Metis Data Science Bootcamp to pursue my goal of using data science in journalism, which inspired me to focus my final project on being able to better understand the problem of police-related violence in America. Here is the repo with my code and presentation for my final project: https://github.com/GeorgeMcIntire/metis_final_project.

Seven Python Kernels from Kaggle You Need to See Right Now

Seven Python Kernels from Kaggle You Need to See Right Now

The ability to post and share kernels is probably my favorite thing about Kaggle. Learning from other users’ kernels has often provided inspiration for a number of my own projects. I also appreciate the attention to detail and descriptions provided by some users in their code as well. This is why we’d like to share […]

How I Plan to Teach Myself Deep Learning Using Only Free Resources

How I Plan to Teach Myself Deep Learning Using Only Free Resource...

We’re already familiar with the popularity of big data of the past five or so years and we’ve heard that data scientist is the “Sexiest job of the 21st century” countless times, but compared the current hype of deep learning is unlike anything we’ve seen before. It’s the hottest thing in tech and people can’t […]

A Machine Learning Deep Dive into My Spotify Data.

A Machine Learning Deep Dive into My Spotify Data.

This is the second article in our two-part series on using unsupervised and supervised machine learning techniques to analyze music data from Pandora and Spotify. Introduction As you may recall from the previous post I did, where I applied dimensionality reduction and clustering techniques to a set of songs I liked on the internet radio service Pandora, I’m […]

What Happened on Twitter During the Champions League Final

What Happened on Twitter During the Champions League Final

Last Saturday, in the UEFA Champions League final (think of it as Europe’s Super Bowl), Spanish giants Real Madrid defeated their Italian counterparts Juventus FC 4-1. It was a thrilling match, that saw both sides staking an equal claim to winning the match in the first half, with Madrid eventually prevailing in the 2nd half. As has […]

ODSC East Interviews: Barton Poulson

ODSC East Interviews: Barton Poulson

The following Q&A is part of a series of interviews conducted with speakers at the 2017 ODSC East conference in Boston. The interview has been condensed and edited for clarity. This interview is with Barton Poulson, Founder at Datalab, whose talk was entitled “Data Science for the 99%”. What does Data Science for the 99% mean? Most of […]

Hacking My Pandora Data With Unsupervised Learning

Hacking My Pandora Data With Unsupervised Learning

This is a two-part series about using machine learning to hack my taste in music. In this first piece, I applied unsupervised learning techniques and tools on Pandora data to analyze songs that I like. The second part, which will be published soon, is about using supervised on Spotify data to predict whether or not I will […]

The ODSC March Madness Redemption Bracket

The ODSC March Madness Redemption Bracket

Our Data Science March Madness Bracket to our disappointment floundered over the first weekend. Despite its promising start, in which it correctly predicted 15 of the first 16 games, it only picked the winning team 50% of the time for the rest of the 32 games. Luckily for us ESPN has come to the rescue. They’re holding […]

On Building a “Fake News” Classification Model *update

On Building a “Fake News” Classification Model *updat...

“A lie gets halfway around the world before the truth has a chance to get its pants on.” – Winston Churchill Since the 2016 presidential election, one topic dominating political discourse is the issue of “Fake News”. A number of political pundits claim that the rise of  significantly biased and/or untrue news influenced the election, though a study by researchers […]

How the ODSC March Madness Bracket Fared Over the First Weekend

How the ODSC March Madness Bracket Fared Over the First Weekend

Last week we published an article about our March Madness bracket. In it we described the data science methods we used to predict the outcomes of all 63 games. Here’s how our bracket did after the first two rounds and 48 games. Our bracket did pretty poorly. After a hugely promising start, in which we correctly predicted 15 out of […]