mamomen1996 / R_CS_06

Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

R_CS_06

Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)

Case-Study Title: Sports Analytics (Gradient Boost approaches for Decision Tree in Regression problems)

Data Analysis methodology: CRISP-DM

Dataset: Hitters dataset (Major League Baseball Data from the 1986 and 1987 seasons in US)

Case Goal: Annual Salary prediction of each Player in 1987 base on his performance in 1986

Loss Function as a result of n Trees added to the Ensemble in GBoost CS_06_1

Actuals versus Predictions plot CS_06_2

About

Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)


Languages

Language:HTML 99.3%Language:R 0.7%