eXtreme Gradient Boosting XGBoost Algorithm with R - Example in Easy Steps with One-Hot Encoding

Provides easy to apply example of eXtreme Gradient Boosting XGBoost Algorithm with R .
Data file and R code: github.com/bkrai/Top-10-Machine-Learning-Methods-W…
Machine Learning videos: goo.gl/WHHqWP
Timestamps:
00:00 eXtreme Gradient Boosting XGBoost with R
00:04 Why eXtreme Gradient Boosting
00:34 Packages and Data
02:02 Partition Data
03:25 Create Matrix & One Hot Encoding
07:35 Parameters
09:59 eXtreme Gradient Boosting Model
11:51 Error Plot
16:50 Feature Importance
18:00 Prediction and Confusion Matrix - Test Data
24:03 More XGBoost Parameters

Includes,
Packages needed and data
Partition data
Creating matrix and One-Hot Encoding for Factor variables
Parameters
eXtreme Gradient Boosting Model
Training & test error plot
Feature importance plot
Prediction & confusion matrix for test data
Booster parameters

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.