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Project 4: Clustering
Introduction In this project, I decided to discover patterns in the housing prices of California. Using a dataset of the housing prices in California’s districts, I aimed to use clustering to identify if there were any separating features within the dataset. I used k-means clustering to group the districts based on their population, prices, and…
ITCS 3162 Project 1
Introducing the Problem The data set I chose to look at is Hudl Statsbomb’s free release of their match record for the 2020 UEFA Euros. The “problem” that I chose to tackle with this data is to discover the key players for the top teams in the tournament. The definition of key player I chose…
Colin Pham 