Being a sports aficionado, I was always interested to work with a sports dataset. We have good knowledge about cricket and thus, we thought the IPL dataset would be a great to generate some meaningful insights. We were always curious on what factors are players purchased in auctions and wanted to kind of decipher the entire decision process.
What it does
How we built it
Challenges we ran into
The data-set wasn't big enough to train a Machine Learning Model, so we had to derive features from the data we had. Figuring out the different visualization tools and choosing the best one.
Accomplishments that we're proud of
Creating an in-depth analysis in a day and also building a model to predict which initially was not a part of a plan.
What we learned
What's next for IPL Cricket Dataset Analysis
It can be used in actual auctions and the accuracy could be increased with more data. These techniques can also be applied to other sports fields like NBA, NFL and others.