Applied Ststistics With R

Applied Time Series Analysis And Forecasting With R Projects  eBooks & eLearning

Posted by Sigha at March 25, 2023
Applied Time Series Analysis And Forecasting With R Projects

Applied Time Series Analysis And Forecasting With R Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.61 GB | Duration: 3h 22m

Use R to work on real world time series analysis and forecasting examples. Applied data science with R.

Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics [Repost]  eBooks & eLearning

Posted by Free butterfly at March 25, 2020
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics [Repost]

Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics by Eric Goh Ming Hui
English | December 1, 2018 | ISBN: 1484241991 | 260 pages | PDF | 6.79 Mb

Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics  eBooks & eLearning

Posted by AlexGolova at March 31, 2022
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics

Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics by Eric Goh Ming Hui
English | January 17, 2019 | ISBN: 1484242017 | 260 pages | PDF | 6.79 MB
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics

Eric Goh Ming Hui, "Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics"
English | ISBN: 1484241991 | 2019 | 260 pages | PDF, EPUB | 14 MB

Applied Unsupervised Learning with R [Repost]  eBooks & eLearning

Posted by IrGens at March 24, 2020
Applied Unsupervised Learning with R [Repost]

Applied Unsupervised Learning with R: Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA by Alok Malik, Bradford Tuckfield
English | March 27, 2019 | ISBN: 1789956390 | EPUB | 320 pages | 17.3 MB

Complete Machine Learning & Data Science with R-2019  eBooks & eLearning

Posted by Sigha at Jan. 25, 2019
Complete Machine Learning & Data Science with R-2019

Complete Machine Learning & Data Science with R-2019
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 5.93 GB
Duration: 12 hours | Genre: eLearning | Language: English

Learn complete Machine learning & Data Science with R covering applied statistics, R programming & data visualization.

Applied Unsupervised Learning with R  eBooks & eLearning

Posted by First1 at May 6, 2019
Applied Unsupervised Learning with R

Applied Unsupervised Learning with R by Alok Malik, Bradford Tuckfield
English | April 23rd, 2019 | ISBN: 1789956390 | 320 pages | EPUB | 17.29 MB

Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data.

Applied Bayesian Data Analysis With R  eBooks & eLearning

Posted by ELK1nG at June 26, 2025
Applied Bayesian Data Analysis With R

Applied Bayesian Data Analysis With R
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.51 GB | Duration: 5h 11m

Build powerful statistical models, simulate uncertainty, & master Bayesian thinking using real data & modern tools in R

R: Data Analysis With R - Step-By-Step Tutorial!: 3-In-1  eBooks & eLearning

Posted by ELK1nG at Jan. 1, 2023
R: Data Analysis With R - Step-By-Step Tutorial!: 3-In-1

R: Data Analysis With R - Step-By-Step Tutorial!: 3-In-1
Last updated 9/2018
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.49 GB | Duration: 5h 3m

An all inclusive guide to get well versed with classifying and clustering data with R!

Applied Spatial Data Analysis with R  eBooks & eLearning

Posted by AvaxGenius at Nov. 4, 2019
Applied Spatial Data Analysis with R

Applied Spatial Data Analysis with R by Roger S. Bivand
English | PDF | 2008 | 379 Pages | ISBN : 0387781706 | 10.44 MB

Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS.