xgboost, caret, cleaning, time series - a reading list for next weeks.

Go through this to learn xgboost:
https://github.com/dmlc/xgboost/blob/master/R-package/vignettes/discoverYourData.Rmd
https://cran.r-project.org/web/packages/xgboost/vignettes/discoverYourData.html
https://github.com/dmlc/xgboost/blob/master/R-package/vignettes/xgboostPresentation.Rmd

https://github.com/dmlc/xgboost/tree/master/R-package/demo
https://rpubs.com/flyingdisc/practical-machine-learning-xgboost

http://courseprojects.souravsengupta.com/tag/xgboost/
http://xgboost.readthedocs.io/en/latest/R-package/xgboostPresentation.html
https://www.kaggle.com/jkapila/caterpillar-tube-pricing/0-24-with-xgboost-in-r/run/29813
http://www.analyticsvidhya.com/blog/2016/01/xgboost-algorithm-easy-steps/

Material from recent meetup in Warsaw:
https://github.com/mi2-warsaw/SER/blob/master/SER_XIX/xgboost.R


Cleaning and  some interesting packages (editrules, deducorrect):
https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf
http://www.r-bloggers.com/three-quick-and-simple-data-cleaning-helper-functions-december-2013/
http://www.meetup.com/amst-R-dam/events/57161682/ and especially:
http://cran.r-project.org/web/packages/editrules/index.html
http://cran.r-project.org/web/packages/deducorrect/index.html
Very good examples: https://github.com/data-cleaning
 http://www.r-bloggers.com/deductive-imputation-with-the-deducorrect-package/

Time Series:
http://www.r-bloggers.com/time-series-analysis-and-mining-with-r/

Ensemble:
https://cran.r-project.org/web/packages/caretEnsemble/vignettes/caretEnsemble-intro.html

Caret: (very good stuff): https://github.com/pbiecek/DataMining/tree/master/MINI_2015


Other:  
http://www.datasciencecentral.com/m/blogpost?id=6448529%3ABlogPost%3A352821

Github new tools (also offline):
Write a book:  
https://www.gitbook.com/
Collect and share snippets of code:
https://gist.github.com/