In the real world, we’ll often encounter data in all sorts of formats. Today, we’ll tackle the task of extracting tabular data from a PDF and exporting it to Excel.
The only caveat is, the pdf file must be machine-generated. PDFs of scanned pages do not work. …
Recently, I was playing around with Amazon Textract when I ran into a little problem. Textract’s synchronous operation requires that the input document is in an image format. …
Getting started with AWS and Amazon Textract.
Today, we will venture out into the AWS world and have a little fun with Amazon Textract. We’ll take a scanned image of an invoice and extract information from it. Mainly, we will:
WARNING! This is an epic post. I really would like the reader to be able to follow the steps outlined in this article and replicate the process from start to end. I have included a lot of screenshots to make things really clear and easy to follow.
In this post…
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:
#…
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!
In 2019, my friends and I participated in…
As a data scientist, you’ll need to learn to be comfortable with analytics tools sooner or later. In today’s post, we will dive headfirst and learn the very basics of Power BI.
Be sure to click on the images to better see some details.
In this post, we’ll go through the process of creating forecasting in Power BI.
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…
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…
In a previous post, we set out to explore the dataset provided by the Trump Twitter Archive. This is part three of the Exploring Trump series.
In this post, we’ll continue our journey but this time we’ll be using PyCaret.
For this project, we’ll be using PyCaret:
PyCaret is an…
