Posted by **libr** at May 21, 2017

English | ISBN: 1847879020, 1847879039 | 2009 | 216 pages | PDF | 2,4 MB

Posted by **naag** at May 20, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 Hours | Lec: 169 | 4.12 GB

Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R

Posted by **AlenMiler** at May 2, 2017

English | 16 Jun. 2017 | ISBN: 1462530273, 1462530265 | 325 Pages | PDF | 6.18 MB

Posted by **libr** at April 17, 2017

English | 2014 | ISBN: 1466584327 | ISBN-13: 9781466584327 | 188 pages | PDF | 1,8 MB

Posted by **U.N.Owen** at Feb. 3, 2017

Size: 249 MB | Duration: 1h 37m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch

Generate forecasts quickly using R and be able to support and defend your projections with Excel.

Posted by **naag** at Jan. 23, 2017

English | 5 Feb. 2017 | ISBN: 1484225139 | 266 Pages | PDF | 14.52 MB

Posted by **U.N.Owen** at Jan. 19, 2017

Size: 520 MB | Duration: 4h 2m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch

Linear and logistic regression models can be created using R, the open-source statistical computing software.

Posted by **DZ123** at Nov. 13, 2016

English | 2014 | ISBN: 1439873437 | PDF | pages: 283 | 2.0 mb

Posted by **insetes** at Nov. 6, 2016

2014 | 287 Pages | ISBN: 1439873437 | PDF | 2 MB

Posted by **house23** at Nov. 5, 2016

MP4 | AVC 470kbps | English | 1280x720 | 30fps | 17 hours | AAC stereo 59kbps | 2.68 GB

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots.