Entity Resolution with Python Webinar Video

This is a video recording of District Data Labs' Entity Resolution with Python online webinar on July 15th 2015. Entity Resolution is the task of disambiguating manifestations of real world entities through linking and grouping and is often an essential part of the data wrangling process. 

This webinar recording focuses on demonstration-led topics and techniques. After watching this video, you should understand the basic theoretical foundation for entity resolution techniques, how to implement pairwise similarity scoring, and how to use clustering for de-duplication. 

This download includes the webinar video and a text file containing the URL to the Github repo for the tutorial, where you can find the code.