Kobe Bryant Shot Analysis

Kobe Bryant is famous for his relentless work ethic. He has taught me that anything can be achieved through hard work. I use his game highlights to practice my shooting form, so I thought why not use his data to practice my machine learning skills.

It happened to be very convenient that Kobe Bryant took many shots in his career - 30,697 to be exact, 2nd most in the NBA.

Using this huge dataset, I performed data analysis and made a model that predicts whether the shot goes in or not. I used several classification models for this and compared the results. The models used for this project were: logistic regression, KNN regression, SVM regression, Naive Bayes regression, Decision Tree regression and Random Forest Regression.