This is a follow-up article to my previous article ‘Exploring Chess Games Using Data’. In this article, we will apply a machine learning model on our data set and make predictions based on certain parameters.
In our previous article, we noticed how different chess openings showed different results in our analysis and how the results changed when we grouped our data under certain parameters. In this article, we are going to apply a model on our chess data set and make predictions.
First of all, lets discuss the nature of our data set. We have already seen what are the…
Chess is a board game that has been around for almost 1500 years, but it has reached its peak popularity since the release of famous Netflix show “The Queen’s Gambit”. Following the release of the show, the sales of chessboard increased in US by 87%. Not only that, monthly searches for Chess escalated by 189% in November compared to the average for the 11 months prior. Along with “The Queen’s Gambit”, the average Chess viewership on Twitch and YouTube has increased tremendously, thanks to events like “PogChamps” and chess content creators on those platforms that have gathered a huge community.