Photo by CardMapr from Unsplash

Social media strategists have been trying to crack and reverse-engineer the YouTube algorithms for years. Tech companies like VidIQ have been pushing products that help YouTubers optimize their videos with the hope of pleasing the algorithm Gods and getting their content in front of more eyeballs. While all of that hard work has produced highly effective sets of best practices and tools that guide creators on the path to success, a lot of it relies on outdated assumptions about what influences a YouTube video’s success.

Most people consider titles and tags to be the leading factors, while in fact, tags…


Recommendation systems guide our experiences all over the Internet. From the products Amazon puts in front of us when we search their platform to the tens of videos YouTube suggests that we watch next, leading to late-night binge sessions, it’s all driven by recommendation algorithms. They play a crucial role in what we purchase and consume and how we shape our opinions on various topics. If you’ve watched the recently popular documentary “The Social Dilemma,” you know that along with their many benefits, recommender systems also come with a price.

There are different recommender systems: some are relatively basic and…


Photo by Jonathan Kemper from Unsplash

This article will walk you through one way to evaluate and choose between several classifiers when you approach a binary classification problem. To make things more practical, I will work with the “Churn in Telecom’s dataset” from Kaggle. Our data contains over 3,000 rows of data, each representing an individual customer, with 20 predictors/columns. The objective is to classify if a customer is likely to cancel their contract with the telecom or not; in other words, churn or not churn.

Before you approach any data science project, always consider the context of the problem. In our case, let’s assume the…


They say linear regression models are the simplest approach towards supervised learning. But when you are new to statistics and data science, even the most straightforward model can be overwhelming and challenging to interpret. I started learning about linear regressions a few weeks ago as part of the data science boot camp I’m taking. The concepts seemed easy to follow until our instructor tasked us with building a baseline model and improving it through iterations. You plug your variables in the code to fit your regression and then face a summary table packed with information that should guide your next…


Beck won the curse of being remembered by the general public only in association with Beyoncé

As a die-hard Beyoncé fan, I’m still struggling to process this past Sunday’s events. I’m baffled by the lack of recognition for her groundbreaking self-titled album during the 57th Grammy Awards. That being said, this writing is not a rant bashing the Grammys, nor is it a Beyoncé-gloryfing sermon. I seek to share my views, as objectively as I can, on what the category Album Of The Year should represent, and why Beyoncé should have won what would have been her most prestigious Grammy award.

Genre Specific vs. General Categories

There are about 33 genre-based fields on the Grammy ballot, each containing categories where voters…

George Paskalev

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