This purpose of this repository is to analyze historical Olympic Games results held since 1964 and create a web-deployable machine learning model to allow for interactivity in predicting whether YOU could medal in an Olympic event!
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Determine proper categories of Sports/Events for prediction model #6
The Olympic data is categorized into level 1: Sports (ex: Swimming) and level 2: Events (ex: Swimming Men’s 200 meters Butterfly). While the biometric data has minimal variability between the different events in most sports, there are a few sports whose biometric data varies greatly across its different events (ex: Boxing, Wrestling). In order to build an effective predictive model, we need to create a new field called Event Category. We will perform exploratory data analysis to determine how to categorize the Sports and Events into the new field.
elisabethgnewman
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2 years ago
The Olympic data is categorized into level 1: Sports (ex: Swimming) and level 2: Events (ex: Swimming Men’s 200 meters Butterfly). While the biometric data has minimal variability between the different events in most sports, there are a few sports whose biometric data varies greatly across its different events (ex: Boxing, Wrestling). In order to build an effective predictive model, we need to create a new field called Event Category. We will perform exploratory data analysis to determine how to categorize the Sports and Events into the new field.