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 30 Mins: Introductions and Icebreakers
1.5 Hrs: Instruction
Last 30 Mins: Wrapup
Links & Resources
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.
Unlocked when checked in.
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.