From 7c555d5bc63ab27a1426b37dc01cd582e3592621 Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Fri, 18 Mar 2016 15:28:38 -0700 Subject: [PATCH] Update README.md --- demo/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/demo/README.md b/demo/README.md index 10a8c2e6a..9f819e0b6 100644 --- a/demo/README.md +++ b/demo/README.md @@ -88,6 +88,7 @@ Please send pull requests if you find ones that are missing here. ## Tutorials - [XGBoost Official RMarkdown Tutorials](https://xgboost.readthedocs.org/en/latest/R-package/index.html#tutorials) +- [An Introduction to XGBoost R Package](http://dmlc.ml/rstats/2016/03/10/xgboost.html) by Tong He - [Open Source Tools & Data Science Competitions](http://www.slideshare.net/odsc/owen-zhangopen-sourcetoolsanddscompetitions1) by Owen Zhang - XGBoost parameter tuning tips * [Feature Importance Analysis with XGBoost in Tax audit](http://fr.slideshare.net/MichaelBENESTY/feature-importance-analysis-with-xgboost-in-tax-audit) * [Winning solution of Kaggle Higgs competition: what a single model can do](http://no2147483647.wordpress.com/2014/09/17/winning-solution-of-kaggle-higgs-competition-what-a-single-model-can-do/) @@ -102,7 +103,6 @@ Please send pull requests if you find ones that are missing here. - [Notes on eXtreme Gradient Boosting](http://startup.ml/blog/xgboost) by ARSHAK NAVRUZYAN ([iPython Notebook](https://github.com/startupml/koan/blob/master/eXtreme%20Gradient%20Boosting.ipynb)) - [Complete Guide to Parameter Tuning in XGBoost](http://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/) by Aarshay Jain - ## Usecases If you have particular usecase of xgboost that you would like to highlight. Send a PR to add a one sentence description:)