When Can I Ride? Using ML to Predict Cincinnati MTB Trail Status

Do you mountain bike? Are you interested in data science? Do you think about weather data a lot? If you said “yes” to one of these questions, then keep reading to learn more! Don’t care about the story and want to jump right to the most recent Cincinnati MTB Trail Status predictions? You will find … Read more

Analyzing the YouTube Comments on the Mountain Biking Reality Show “Pinkbike Academy”

In this article, we’ll be exploring the results of text analysis on YouTube comments for the mountain biking reality TV show “Pinkbike Academy.” If you’re a fan of the series, or just interested in analyzing social media comments, read on to learn more about the insights gained and challenges faced from this project! Background I … Read more

How to use Python and the YouTube API to scrape YouTube Comments

In this tutorial, we will walk through the process of using Python and the YouTube API to extract YouTube video comments using video titles as our search parameters. Background & Environment Setup I started this project due to an interest in understanding what insights I could learn from following the comments over time of a … Read more

Uncovering Cincinnati’s Local Music Scene: How I Used Spotify Data to Find and Showcase the Best Local Music Artists

In this post, I will share with you the story of how I combined my love for local music with my passion for data analytics to create Stereo Cincinnati, a data-driven local music blog and playlisting algorithm that showcases the best up-and-coming bands in Cincinnati. By leveraging the power of the Spotify API, I was … Read more