On October 5th, just a few days after testing positive for COVID-19, the USA president Donald Trump’s Twitter was ablaze with a series of what appeared to be his run-of-the-mill deranged tweets — those we have grown used to (exhausted by?) over the last four if not eleven (he joined in 2009) years.

Each tweet appeared almost like a Python dictionary where the key was an issue of supposed import to conservatives, and the value was the exclamation “VOTE.”

But wait, there’s more:


In a recent project, I examined data from the Spotify API to understand where the music scene is headed over the next five years. I used classification analysis to identify which features would predict popularity and which features could be considered niche. I figured it would be nice to not only build something that could be used by music executives but also independent artists. …


I recently completed my 4th module project at The Flatiron School. This time, I analyzed time-series data from Zillow, which showed the median real estate values of zip codes around the United States from April 1996 to April 2018. It was an incredibly enlightening experience; however, I can’t help but wonder if time-series predictions will be able to handle global disasters as unpredictable as COVID-19.

The goal was to discover the best zip codes to invest in for the next few years. …


If you grew up in the United States, you probably have a distinct memory of receiving 15,000 different credit card applications the MOMENT you turned 18. You may even remember being accosted by friendly employees at American Eagle, Hollister, Best Buy, and Barnes & Noble trying to sell you on their latest credit card to guarantee you 20% off your purchase! The moment you agreed to sign on with that first card was, for many of you, the moment your journey into the world of credit began! There are also things like student loans and car loans, and, if you’re…


Modeling is an overwhelming topic to learn about in data science, especially if you are relatively new to the subject. It is a process that takes a great deal of time, effort, and, most importantly, patience. It is a process during which you experience a great deal of error and inaccuracies while trying to understand what causes something to occur. This something often referred to as a dependent variable, can vary greatly. …


I recently completed my first end-of-module project in my data analysis course at The Flatiron School. My project partner and I analyzed questions about film data that are available online via IMDB, Rotten Tomatoes, The Movie Database, and Box Office Mojo. It was a delightful assignment that I took great joy in! One of the questions I was able to ask about and analyze was regarding the representation of non-English languages in films and what it looks like for ROI for investors.

ROI stands for Return on Investment. It is a percentage that tells an investor whether a film was…

Caleb Elgut

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