In the third workshop in this Python series, participants will feed their data into a Markov chain bot. They will compare the quality of responses from data scraped from Twitter (a small data set) to data retrieved using the Twitter API (a larger data set). At the end of the series, participants will have a fully functional, deployed Markov chain bot of the celebrity of their choice!
Powered by Capital One
We've partnered with the Basic TrAIning program from Capital One to bring you this workshop. Capital One is one of the largest banks in America and handles immensely complex financial transactions and their technology team is at the core of all of that.
Requirements / Prerequisites
No special software is necessary. Computers that can connect to the internet are all that’s required! The latest version of Google Chrome is the preferred browser for this workshop, but it’s not required.
Who can attend?
Locations have different requirements for who can attend. This location is open to the following:
First 20 mins: Introductions, ice breaker
1.5 hours of guiding participants through building a project
30 minutes of wrap up, answering questions
Links & Resources
Participant Slides - Markov Chain Bots
These are the slides to share with the event attendees. They are available on the registration page after they are checked in.
Unlocked when checked in.
Workshop Code - Markov Chain Bots
This Glitch project contains the source code for the workshop. The link is available on the registration page after you check in.