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Word clouds have easily become the new pie charts. For definition purposes, a world cloud a simply a way to visualize the word frequencies from a piece of text. The most common terms are often shown in the different colors or larger sizes. You can make a world cloud slightly more complexed by using the…
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A while ago I saw this article from The Pudding where they ranked rappers based on the size of their song vocabulary. I love rap and the Puerto Rican equivalent, reggeaton, and I wanted to recreate a similar analysis for the genre. Reggaeton was always considered a “low” quality music genre with incorrect Spanish, vulgar…
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I am obsessed with skincare…like…easily 25% of my paycheck goes to trying out new products. I am always on Sephora.com or Dermstore.com, you name it. I am also always watching skincare content on YouTube and I am pretty much an rss feed for Reddit’s r/SkincareAddiction. In fact, I recently made a post doing a deep…
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If you’re in the data science or machine learning field you have heard and, probably, used Jupyter notebooks. People love to love them, people love to hate them. Jupyter notebooks can be magnificent tools for data analysis, data story building and model testing. They can even be great tools, if you’ve set them up correctly, for a development platform (see…
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Color is everywhere around us. It makes us feel certain ways. Sometimes it pushes to buy things, eat things – it often dictates our actions. Color usage is everywhere, in powerpoint, in infographics, in marketing, etc. One of the ways we can study color is through color theory. Color theory refers to how we perceive…
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Some of you may or may not know I am obsessed with skincare. Now, you may think I am exaggerating, maybe she only has a couple products. I have 50-75 products. It’s a problem. It goes without saying, I do not put that many products on a given day. My routine consists of 6-10 steps…
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Text summarization, as the name implies, is a technique to summarize large pieces of text. Our goal is to generate summaries that make sense – remember high school and summarizing papers and books? Yes, we have to get the machine to do that. This far from an easy task; it is actually an area of…
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Unpopular opinion: LDA models can be problematic. tl:dr; LDA models are often overused and misused. Latent Dirichlet Allocation (LDA) is a very common model used in natural language processing with the intent of clustering some amount of text data into topics. LDAs have become the staple natural language processing model with hundreds of tutorials…
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If you have been in the field for a while, you’ll have realized by now that every single job you’ve had as a “data scientist” consists of different responsibilities and the expectations they have of you are also vastly different. Here I’ve listed some of the things I have learned along the way that have…
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Often we will be dealing with text; short or long, and often we only want to find out the important keywords of said text. As with most things, there are several algorithms out there that you could use for this. A common one that you’ve likely even used before is TF-IDF, but there are others…
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