Hidden treasures — Motivation I hated Sklearn. The “first introduction to ML” course I took explained SVMs so badly that I judged the entire library based on that. I abandoned the course and ML for good for a few months after that. Little did I know that Sklearn would turn out to be my…

Learn machine learning one snippet at a time — Introduction I post four times a day on LinkedIn at 6-hour intervals. Mainly, three of those posts contain a code snippet, while the last one is a resource. I am publishing all 28 posts here for this week before they are published on LinkedIn. Enjoy! This is the issue #1. 1. Permutation Importance with ELI5 Permutatıon…

Unique datasets ranging from microbiology to sports — You might have already developed a slightly sickened feeling when you constantly saw people using the same datasets over and over (and over) again. You just can’t help it — everyone wants the easy thing. Beginners use datasets like Titanic, Iris, and Ames Housing Dataset because they are stupidly straightforward…

Guess which language it will be. — Introduction Christmas has been canceled for Python. After becoming the “Language of the Year” three times in four years, it looks like it is going to lose the award spectacularly this year. And the language that is snatching it away is C#. But why then, the image shows that Python is…

Learn the Scikit-learn of Natural Language Processing — Introduction No, we won't be building language models with billions of parameters today. We will start smaller and learn about the basics of NLP with spaCy. We will closely look at how the library works and how you can use it to solve beginner/intermediate NLP problems with ease. The post is…

Learn to leverage powerful model-based imputation techniques. — Introduction Despite the massive number of MOOCs and other online resources, there are still skill gaps in dealing with certain data problems. One example is properly dealing with missing data in real-world datasets. Beginners often take this problem lightly, and they are not to blame. Even though it is such a…

There was a time it was the other way around — Motivation When Pandas package gained public exposure in 2009, SQL had been dominating the data world since 1974. Pandas came with an attractive set of features such as in-built visualization and flexible data handling and became an ultimate data exploration tool. As it started gaining popularity, many courses and resources emerged…

Learning the best way of combining your love for math and programming — Do you know how many lines of code went into creating the Essence of Linear Algebra series of 3Blue1Brown?