by Ednalyn C. De Dios | Feb 27, 2023 | Data Science
Today, we’re going to foray into the world of Apple. I am a diabetic and wear a continuous glucose monitor, or CGM for short. It records my blood sugar every few minutes and communicates the results to my phone. Conveniently, I can share my data with my doctor, and...
by Ednalyn C. De Dios | Jun 4, 2020 | Data Science, Programming
I have a recurring dream where my instructor from a coding boot camp would constantly beat my head with a ruler telling me to read a package or library’s documentation. Hence, as a past time, I would find myself digging into Python or Panda’s documentation. Today, I...
by Ednalyn C. De Dios | Jun 3, 2020 | Data Science, Programming
As data scientists, we spent most of our time wrangling knee-deep in manipulating data using Pandas. In this post, we’ll be looking at the .loc property of Pandas to select rows based on some predefined conditions. Let’s open up a Jupyter notebook, and let’s get...
by Ednalyn C. De Dios | May 23, 2020 | Data Science, NLP
A quick-start guide to creating and visualizing n-gram ranking using nltk for natural language processing. When I was first starting to learn NLP, I remember getting frustrated or intimidated by information overload so I’ve decided to write a post that covers the bare...
by Ednalyn C. De Dios | Feb 8, 2020 | Programming
The Pandas function below takes a list of dataframes and concatenates them into. This basic flavor of concat()joins the dataframes vertically. In other words, the rows of one dataframe gets added on to the previous one. df = pd.concat([df1,df2,df3]) Or if you want,...
