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CodingAugust 21, 2019September 15, 2019

Thoughts On Becoming a Better Data Scientist

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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CodingFebruary 24, 2019May 10, 2020

Coding: USA History Through Keywords: A Keyword Extraction Tutorial

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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CodingFebruary 22, 2019May 10, 2020

Coding: Exploring Linguistic Patterns in South Park

Everyone knows South Park. I’ll admit I haven’t watched an episode in at least 5 years, but once I saw this data set I had to dig in. It’s a prime sample to do some quick and dirty linguistic pattern search. It also provide us with a way to understand how to “measure” language. The…

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CodingFebruary 21, 2019May 10, 2020

Coding: Text Summarization in Python

NOTE: THIS WAS DONE USING PYTHON 2.7. PLEASE, REFER TO UPDATED POST HERE. A lot of times we need to dig through hundreds of lines of text. Maybe we are digging through research journals or we need to go through large amounts of text. A great technique to speed up this process is by using…

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CodingDecember 2, 2018May 10, 2020

Coding: Simple Parallel Programming for Data Analysis in Python

One of the most tedious things when working with data has to be processing times. Sometimes your data is not big enough and this is never an issue. Other times, your data is so big that you sit… and wait… until a Pandas process or whatever other process you’re trying to run finishes running. 2…

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CodingSeptember 5, 2018September 5, 2018

Cleaning Recipes for Text Data

Instead of a lengthy tutorial, I hope this post serves as a quick reference for those who work with text data on almost a daily basis. Come back to this post for updates as I will be posting them here as I develop them! Strip Accents: On many occasions, I have had to work with…

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CodingSeptember 1, 2018September 2, 2018

A Millennial’s Avocado Nightmare: A Data Visualization and Time Series Tutorial

Okay, I have a confession to make… I don’t get why people like avocados so much. They’re ‘okay’ at best. I grew up in the Caribbean and avocados were plentiful, in fact, we had an avocado tree in our backyard, twice the size of those i see in stores here, but…I was just never an…

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CodingJuly 21, 2018August 22, 2019

Fake News: How Complex and Readable is the Text of Fake News?

I’ve been meaning to dig into this data set for a while. There’s just so many text analytics we can learn from it and just learn how we can be better as a society when we read fake news.  This data set came from Kaggle.com so if you will follow along go ahead and download…

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CodingJuly 18, 2018July 24, 2018

The random And string Python Libraries: Generating Passwords

So, recently, I was asked to changed my password for a service I am subscribed to. And obviously, it couldn’t be something I’ve used before. I tried changing one character, nope it didn’t work. Sigh…listen, I am just very lazy, okay? Changing my password annoys just as much as going grocery shopping. AIN’T NOBODY GOT…

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CodingJuly 6, 2018July 21, 2018

Comprehensive Guide to Text Mining – Part II, Topic Modeling

This is the second part of this text mining series. For part I click here. In this post, we’ll go over unstructured approaches to look at our text data.  A good way to learn about what’s inside our text data is to find topics or themes. In this example we will use a Latent Dirichlet…

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I am a data and domestic scientist, a religious Python follower, a baker, a crafter, an illustrator, a mom and a wife. I hope you find something that inspires you in here!
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