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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 telecom company wants to implement a customer retention strategy and needs our classifier to help them make that strategy more effective. One of the main reasons this is important is so you can choose the proper metric to evaluate your classifier’s effectiveness. …

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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 steps. …

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 get to compare apples to apples. While each voter has the opportunity to vote in any 20 genre-specific and the four main categories, most stick only to their fields of expertise and the general four. …

George Paskalev

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