Using Python and knowledge analytics to check the energy of Jeopardy Pavlovs
Jeopardy is one in every of America’s most beloved sport reveals. Each present, contestants are answered a trivia query and should reply with the right query. Each sport consists of three rounds with 13 classes and 61 questions. Categories embrace something and the whole lot from science to widespread tradition and wordplay to overseas languages.
Over the years, followers have found some key phrases are computerized giveaways to the right response and dubbed these pairings “Jeopardy Pavlovs.” For occasion, if the clue comprises “bachelor president,” the right response is commonly “Who’s James Buchanan?”
I not too long ago discovered an Anki deck of Jeopardy Pavlovs and wrote some Python scripts to check them.
All the code for this mission is out there on GitHub or Deepnote.
First, I wanted a database of previous Jeopardy clues. I used a dataset from Kaggle containing clues from reveals airing between 1984 and 2019.
In maintaining with the Jeopardy format, the reply column comprises the clues, and the query column comprises the right response. For simplicity, the query column doesn’t phrase the right response as a query.
