In this article, I’ll talk about independence, covariance, and correlation between two random variables.
The Stars ★ and Forks Ψ of a GitHub repository are a great indicator of the project’s popularity and quality. Besides serving as a bookmark function, starring a repo is equivalent to clicking the…
Have you ever run an experimental study, or performed some A/B testing? If so, you should be familiar with the pre-analysis panic: how can you make the data reveal whether your experiment has worked…
Today you’ll learn the last theoretical bit needed for time series forecasting — train/test splits and evaluation metrics. These work differently than in regular machine learning. Keep reading to see…
One of the most common questions I received when consulting Power BI is about performance, such as “Why it takes so long to run a dashboard?” or “How can I make it faster?” There are many factors…
Make your code faster, concise, more readable and more functional with help of Python's little known operator module
It is a tree-based power horse that is behind the winning solutions of many tabular competitions and datathons. Currently, it is the “hottest” ML framework of the “sexiest” job in the world. While…
Gradient Boosting is arguably one of the most popular Machine Learning algorithms nowadays. Combining multiple weak learners in order to generate a strong one seems almost too good to be true…
It’s interesting to see how we improved measuring algorithm performance in python. About a decade ago, when I started coding in python, I stored time into variables at different points in my code. It…
This follow-up article to the the previous ancestor virus hypothesis article has the purpose of analyzing the most common counterarguments that might seem to contradict or refute that hypothesis. If…
