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Unique datasets ranging from microbiology to sportsPhoto by Doğukan Şahin on Pexels. All images are by the author unless specified otherwise.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; most course creators and bloggers use them because they are just a…

Learn the Scikit-learn of Natural Language ProcessingPhoto by Anni RoenkaeIntroductionNo, 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 already long, so I'll cut it here and jump to the meat of the article.What is spaCy?spaCy is like the Sklearn of natural language processing. It is an industry…

A comprehensive tutorial for learning to leverage powerful model-based imputation techniques.Photo by Anni RoenkaeIntroductionDespite 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 pressing issue, the complexity of missing-data problems has significantly been underestimated because…

There was a time it was the other way aroundPhoto by Fiona Art from PexelsMotivationWhen 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 teaching Pandas and comparing it to SQL.Flash-forward to 2021, people are now getting introduced to the Pandas package…

Learning the best way of combining your love for math and programmingAll images are by the author unless specified otherwise.Do you know how many lines of code went into creating the Essence of Linear Algebra series of 3Blue1Brown?With 16 videos in the series and a total of +100 on the channel, these numbers speak volumes about how indebted the math world is to Grant Sanderson.Though the channel is seemingly math-focused, it is the by-product of the graphing library he created to practice his coding skills. He called it…