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

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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

Actuals versus Predictions plot

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

data-science machine-learning r ml xgboost data-analysis gradient-descent stochastic-gradient-descent gradient-boosting extreme-gradient-boosting

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