Published in MLearning.ai·Apr 13A Guide to Google Data StudioOverview What is Google Data Studio? Google Data Studio is a visualization tool that allows you to discover insights in your data and communicate your insights to others. With it, you can translate data into useful dashboards and reports that tell the story behind the numbers. The platform can be used for a wide variety of…Google Data Studio7 min read
Published in MLearning.ai·Mar 5How to Use Beautiful Soup to Parse Text for NLP ProjectsThe Internet is filled with words, and behind every webpage those words are nestled within a hierarchy of HTML tags. Beautiful Soup is a Python library that can pull text from a webpage using those tags, and once you have the text, you can use it as data for Natural…Beautifulsoup6 min read
Published in Towards Data Science·Jan 7Time Series Visualizations in Google Data StudioIncluding visualizations with running totals and with missing data. — When people need to use a word processor or a spreadsheet but don’t want to pay for Microsoft Word or Excel, they typically turn to Google Docs and Google Sheets. …Visualization6 min read
Published in Towards Data Science·Sep 3, 2021Six Questions About Data Science EthicsDuring the years of Facebook’s ascent, Mark Zuckerberg’s motto was famously, “Move fast and break things.” Well, since those days, a lot has been broken. …Data Science6 min read
Published in Towards Data Science·Aug 17, 2021How xticks and xticklabels Really Work: a WalkthroughI was recently creating visualizations in Seaborn, which is based on Matplotlib, and when labeling the x-axis, I wasn’t getting the results I was expecting. I decided to take a step back and experiment to see what xticks and xticklabels actually do in a visualization. Let’s break it down. A Basic Plot First…Visualization5 min read
Jul 16, 2021Five Ways to Count Characters in a String in PythonIf you wanted to count the number of characters in a string in Python or otherwise convert a list to a dictionary with each item counted, there are a variety of ways to do it. 1. Import Counter Python has a module called Counter which does exactly this. It creates a Counter object…Python3 min read
Published in Towards Data Science·May 19, 2021Using Machine Learning to Categorize Texts into TopicsDevelop an unsupervised learning algorithm to find subject commonalities — After reading a news article — whether the subject matter is U.S. politics, a movie review, or a productivity tip — you can turn to someone else and give them a general idea of what it’s about, right? …NLP4 min read
Published in Towards Data Science·May 12, 2021Classifying Complaints with Natural Language ProcessingHow to use an NLP model to sort incoming messages — The Consumer Financial Protection Bureau (CFPB), a federal agency that began operations only in 2011, looks after the interests of consumers in the financial sector. …NLP5 min read
Jan 4, 2021My Introduction to Machine Learning ModelsSay an accident occurred between three vehicles on a September morning. Roads were dry, and the posted speed limit was 35 mph. One of the drivers was a 43-year-old woman. Would this situation lead to a serious accident? Being able to answer a question such as this one was the…Flatiron School5 min read
Oct 27, 2020Using Linear Regression to Gain Insight into Housing SalesOverview of a data modeling project for Flatiron’s data science course — How much is a home’s price affected by: a recent renovation? 10 additional square feet of living space? other listings for sale in the area? For my data science project for Flatiron School, I used a dataset covering home sales in King County, Washington, in 2014 and 2015 to see…Data Science6 min read
