To practice: https://www.analyticsvidhya.com/blog/2016/08/practicing-machine-learning-techniques-in-r-with-mlr-package/
Official tutorial: http://mlr-org.github.io/mlr-tutorial/devel/html/
Other resolutions:
Learn R control structures: http://www.statmethods.net/management/controlstructures.html
Learn xgboost bare without the convenience of caret (prepare sparse/dense matrix data, finetune): https://github.com/dmlc/xgboost/blob/master/R-package/vignettes/xgboostPresentation.Rmd
http://xgboost.readthedocs.io/en/latest/R-package/xgboostPresentation.html
Use my own model in train in caret (or learn to put in the grid the parameters not originally supported in caret)
https://github.com/dmlc/xgboost/blob/master/R-package/vignettes/xgboostPresentation.Rmd
Cleaning data, operations on text, imputation of NA's etc !!!
Other:
Time series wanderings:
http://swmprats.net/forum/potm-single-variable-exploration/35-august-potm-time-series-decomposition-with-swmpr
Excel trivia: learn how to find multiple matches:
https://fiveminutelessons.com/
http://stackoverflow.com/
http://eimagine.com/how-to-return-multiple-match-values-in-excel-using-index-match-or-vlookup/
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