What is Principal Component Analysis? Principal component analysis (or PCA) is a dimensionality-reduction technique that allows us to reduce the number of features in a large dataset as much as possible while still keeping most of the information from the original dataset. …

Personally, I’ve always been a fan of the dark mode interface. So after using Jupyter Notebook for a while, I started to research ways to change the theme. I’m going to talk about how to make changes to your Jupyter Notebook theme. Unfortunately, Jupyter Notebook does not come with built-in…

Meditation can be defined as a set of practices or techniques used to increase self-awareness. It has also been shown to have a wide number of effects on the well-being as a whole. I got into meditation a few years ago and I quickly began to notice the effect it…

When I first told my friends and family about my interest in data science, I got very confused reactions. Some of them were like, “But you’re already a dentist!”, “Why do you want to start over in a field you have no experience in?!”. …