They make my plots look like a child’s drawing of a tree — These plots… They are snazzy… They are breathtaking… They remind you just how beautiful and powerful data visualization can be. They only take a few seconds to deliver their message. But take hours to create. And require more than coding skills to master. Such plots have a theme. They don’t just…

Going knee-deep into the internals of Python — Introduction One of the magical things you can do with Python and many other languages is decorating functions. Decorators can modify the function’s inputs, its output, and the very behavior of the function itself. And the best part is you can do all of those with only one line of code…

Learn how to place text anywhere on the plot and draw arrows — Motivation Every single tutorial or course I took did not care to spend more than 5 minutes explaining annotations in Matplotlib. If I googled the topic, the first 5–6 links are from Matplotlib documentation; the rest are just slightly altered versions of it. I found this frustrating because I am not…

Deploy models as lightweight APIs with a user-friendly interface — Introduction You have a ready machine learning model. Now what? What do you do with it? Do you keep it inside your Jupyter like a prized possession for no one to see? No, you make it as stupidly easy as possible for others to share and play around with your work…

Function writing is a skill — take the first step to master it — Introduction Let’s get this straight: every single line of code is written for other humans to read. Period. Ever wondered why most people code in English? Why not in Chinese or Russian or Klingon or in ancient Farsi? Actually, does the coding language matter? Well, no. Every source code, regardless of…

Avoid the most dangerous pitfall of histograms — Binning Bias, The Biggest Flaw of Histograms Histograms are probably the first plot you might have used as you embark on your journey as a data scientist. They are intuitive and easy plots to understand the shapes of distributions. However, as you progress through your journey, you will find that histograms are not so peachy. Histograms group…

But I am giving you the shortcut — Learn about 19 Sklearn features you have never seen that are direct and elegant replacements to common operations you do manually. Introduction By looking at the API reference of Sklearn, I have realized that the most commonly used models and functions are only a thin slice of what the library can…

There are no error messages — that’s what makes them subtle — Learn to avoid the 6 most serious mistakes related to ML theory in Sklearn beginners make. Often, Sklearn throws big red error messages and warnings when you make a mistake. These messages suggest something is seriously wrong with your code, preventing Sklearn magic from doing its job. But what happens…

Create reproducible and flexible ML projects — Introduction Do you ever get sick of it when people keep saying data specialists spend 80% of their time cleaning data? While it is true, another part of the machine learning workflow deserves as much attention, and that’s machine learning experimentation. Keeping track of many machine learning models and their hyperparameters…