1:28:08

Recipes for Data Processing - Part 1

R Consortium

1:32:37

Recipes for Data Processing - Part 2

R Consortium

1:34:25

Looking to clean your data? Learn how to Remove Unwanted Variation with R - Part 1

R Consortium

1:24:27

Looking to clean your data? Learn how to Remove Unwanted Variation with R - Part 2

R Consortium

1:23:05

fasteR: ways to speed up R code - Part 1

R Consortium

1:04:25

fasteR: ways to speed up R code - Part 2

R Consortium

1:24:19

Disease risk modeling and visualization using R - Part 1

R Consortium

1:28:03

Disease risk modeling and visualization using R - Part 2

R Consortium

1:20:20

Deep learning with TensorFlow and Keras - Part 1

R Consortium

1:26:19

Deep learning with TensorFlow and Keras - Part 2

R Consortium

1:16:10

Wrangling data in the Tidyverse - Part 1

R Consortium

1:11:43

Wrangling data in the Tidyverse - Part 2

R Consortium

1:30:44

The ultimate online collection toolbox: Combining RSelenium and Rvest - Part 1

R Consortium

1:18:00

The ultimate online collection toolbox: Combining RSelenium and Rvest - Part 2

R Consortium

48:26

Quantile Generalized Additive Models: moving beyond Gaussianity - Part 1

R Consortium

41:19

Quantile Generalized Additive Models: moving beyond Gaussianity - Part 2

R Consortium

1:26:18

Follow Me: Introduction to social media analysis in R - Part 1

R Consortium

1:31:53

Follow Me: Introduction to social media analysis in R - Part 2

R Consortium

1:32:42

Extending R with C++: Motivation, Introduction and Examples - Part 1

R Consortium

1:58:03

Extending R with C++: Motivation, Introduction and Examples - Part 2

R Consortium

1:18:25

Are you R Curious? (** This is a FREE tutorial.) - Part 1

R Consortium

1:22:55

Are you R Curious? (** This is a FREE tutorial.) - Part 2

R Consortium

1:15:20

DALEX: Descriptive mAchine Learning EXplanations - Part 1

R Consortium

56:51

DALEX: Descriptive mAchine Learning EXplanations - Part 2

R Consortium

1:32:15

xgboost and MXNet - Part 1

R Consortium

1:27:23

xgboost and MXNet - Part 2

R Consortium

1:29:03

Spatial modelling using ‘raster’ package - Part 1

R Consortium

36:15

Spatial modelling using ‘raster’ package - Part 2

R Consortium

1:05:45

Interactive data visualization on the web with R - Part 1

R Consortium

1:11:05

Interactive data visualization on the web with R - Part 2

R Consortium

1:30:33

Statistical Models for Sport in R - Part 1

R Consortium

1:32:44

Statistical Models for Sport in R - Part 2

R Consortium