Data Scientist. Breaking things to solve problems.

Natural Language Processing

Create a knowledge graph using spaCy for natural language processing

Photo by Andrew Itaga on Unsplash

Today, we will take the contents of a Wikipedia article and prepare it for natural language processing. We will use spaCy to process the text and use Power BI to visualize our graph.

Open up a jupyter notebook, and let’s begin!

Let’s get our imports out of the way:


Data Science Tricks

A friendly tutorial on getting zip codes and other geographic data from street addresses.

Photo by Jasmin Sessler on Unsplash

Knowing how to deal with geographic data is a must-have for a data scientist. In this post, we will play around with the MapQuest Search API to get zip codes from street addresses along with their corresponding latitude and longitude to boot!

The Scenario

In 2019, my friends and I participated in…

Data Science / Power BI Visualization

A visual step-by-step guide to forecasting using Power BI.

Photo by Luma Pimentel on Unsplash

In this post, we’ll go through the process of creating forecasting in Power BI.

Get the Data

You can download the dataset that I used here. It contains daily female births in California in 1959¹. For a list other time-series datasets, check out Jason Brownlee’s article.

Let’s load the data into Power BI…

Data Science / Opinion

Learning a few basic skills just might make a data scientist out of you yet!

Photo by Ilham Rahmansyah on Unsplash

Every once in a while, I would come across an article that decries online data science courses and boot camps as pathways towards getting a data science job. Most of the articles aim not to discourage but serve as a reminder to take a hard look in the mirror first…

Ednalyn C. De Dios

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