Katie is a data scientist and Lambda School Alumni who specializes in natural language processing. She also holds a BA in International Relations and Political Science from the University of Nebraska-Lincoln, though she’s spent most of her career in survey research including 4 years at Gallup and 3 years at the UNL Bureau of Sociological Research.
Katie’s Books
Katie’s Python Projects
GPT-3 and Synthetic Training Data Creation
Original research testing GPT-3’s ability to generate synthetic training data for machine learning text classification algorithms.
GPT-2 for Fine-Tuning and Chatbot Development
A GPT-2 fork updated to use Tensorflow 2.2 with fine-tuning and chatbot additions.
Python Library for GPT3 Chatbots
A python library for GPT3 developers that allows them to easily design and test their prompts right in the terminal with one method then seamlessly switch to production as soon as they’re done engineering with another method.
A dashboard using natural language processing to detect tweets originating from the Internet Research Agency.
A low-code option for t-tests, linear regression, and chi^2 tests
Why Data Scientists Suck at Analyzing your Textual Customer Data
A case study in qualitative analysis using python.
Can We Predict the Retweet Status of Russian Troll Tweets?
An exercise in predictive modeling using a random forest categorizer.
Katie’s Videos
YouTube Playlist - Katie Through the Ages.
Katie’s Blog Posts
Connect with Katie
Twitter: @worldwidekatie
GitHub: worldwidekatie
LinkedIn: katieevanko-douglas
Medium: @worldwidekatie
Email: katie@ameliormate.com