I wrote a research paper titled "NBA Free Throw Prediction" under the mentorship of Ian Shen (MA in Statistics, UC Berekely) at Polygence, California.
The overall goal of the project is to predict the free throw shooting accuracy of NBA players. The data for stats of NBA players for the 2021-22 season and the 2018-19 season is first collected and exploratory data analysis (EDA) is carried out using Python programming language. Unnecessary columns and low information points are then removed from the data set.
Correlation of various features of the dataset is evaluated with the target variable free throw percentage using regression plots and correlation coefficients. Two competing linear regression models predicting the free throw percentage of NBA players are then constructed, evaluated, interpreted and compared.