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Machine Learning Basics - Gradient Boosting & XGBoost
Machine Learning Basics - Gradient Boosting & XGBoost

Extreme Gradient Boosting with R | DataScience+
Extreme Gradient Boosting with R | DataScience+

Classifying Wines by Data Mining from Physicochemical Properties
Classifying Wines by Data Mining from Physicochemical Properties

大数据模型的后meta时代：R语言caret包批量对同一数据集应用不同的算法（lm, rpart, cubist, parRF, earth, xgbTree） - 知乎
大数据模型的后meta时代：R语言caret包批量对同一数据集应用不同的算法（lm, rpart, cubist, parRF, earth, xgbTree） - 知乎

Implement Machine Learning With Caret In R
Implement Machine Learning With Caret In R

Caret Package - A Complete Guide to Build Machine Learning in R
Caret Package - A Complete Guide to Build Machine Learning in R

Tree based models
Tree based models

eXtreme Gradient Boosting vs Random Forest [and the caret package for R] - deepsense.ai
eXtreme Gradient Boosting vs Random Forest [and the caret package for R] - deepsense.ai

r - Why does caret::predict() use parallel processing with XGBtree only? - Stack Overflow
r - Why does caret::predict() use parallel processing with XGBtree only? - Stack Overflow

Using caret to compare models (Revolutions)
Using caret to compare models (Revolutions)

caret/xgbTree.R at master · topepo/caret · GitHub
caret/xgbTree.R at master · topepo/caret · GitHub

Implement Machine Learning With Caret In R
Implement Machine Learning With Caret In R

xgboost: How to fit an extreme gradient boosting classification model in R - R for Data Science - YouTube
xgboost: How to fit an extreme gradient boosting classification model in R - R for Data Science - YouTube

eXtreme Gradient Boosting vs Random Forest [and the caret package for R] - deepsense.ai
eXtreme Gradient Boosting vs Random Forest [and the caret package for R] - deepsense.ai

eXtreme Gradient Boosting vs Random Forest [and the caret package for R] - deepsense.ai
eXtreme Gradient Boosting vs Random Forest [and the caret package for R] - deepsense.ai

Chapter 12 The Machine Learning Pipeline | Introduction to Data Science
Chapter 12 The Machine Learning Pipeline | Introduction to Data Science

xgboost vs xgbtree · Issue #297 · topepo/caret · GitHub
xgboost vs xgbtree · Issue #297 · topepo/caret · GitHub

Solved Which method should we pass to the train function | Chegg.com
Solved Which method should we pass to the train function | Chegg.com

A comprehensive Machine Learning workflow with multiple modelling using caret and caretEnsemble in R | by Gabriel Pierobon | Towards Data Science
A comprehensive Machine Learning workflow with multiple modelling using caret and caretEnsemble in R | by Gabriel Pierobon | Towards Data Science

caret::train requires excessive amounts of memory with the xgbTree method · Issue #880 · topepo/caret · GitHub
caret::train requires excessive amounts of memory with the xgbTree method · Issue #880 · topepo/caret · GitHub

Calaméo - Compare Models And Select The Best Using The Caret R Package
Calaméo - Compare Models And Select The Best Using The Caret R Package