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Cleveland R User Group @UC7C4YZ-9itQW7Nl4RVKDflg@youtube.com

1.2K subscribers - no pronouns :c

The Cleveland R User Group, for users of the R Statistical l


43:48
Analyzing Boston Celtics Basketball Data Using R by Ajay Vaidya (6/5/2024)
01:35:42
How Major League Teams use R to Analyze Baseball Data by Keith Woolner (9/27/2023)
01:06:06
Coding in R with an LLM by Tim Hoolihan (5/23/2023)
01:16:32
r2u - CRAN as Ubuntu Binaries with Dirk Eddelbuettel (12/7/2022)
56:53
Data Validation with Pointblank by Meghan Harris (10/26/2022)
37:31
Meta Programming by Matt Dupree (9/28/2022)
57:38
Collaborative Data Exploration by Tim Hoolihan (5/25/2022)
28:37
Contributing to Open Source by Tim Hoolihan (5/25/2022)
01:00:06
Jai Ranchod on Basketball Stats and Bryan Lewis on R+Redis (4/27/2022)
01:13:50
Gravity Model of European Soccer Player Transfers by Andres Rodriguez (12/8/2021)
36:43
OmicNavigator by John Blischak (10/27/2021)
28:45
You’re a Parselmouth, Harry! Speaking python inside of R workflows by Alec Wong (10/27/2021)
01:04:23
Linking patient-reported outcomes measures with PROsetta by Ryan Honomichl (9/22/2021)
01:07:26
Take a Sad Chart and Make It Better by Trang Le (8/25/2021)
01:01:14
2 Talks: PDFTools by Jai Ranchod; DuckDB by Bryan Lewis (6/23/2021)
46:45
Automating business processes with R by Frans van Dunné (5/26/2021)
47:29
D3 for R users by Zaynaib (Ola) Giwa (4/28/2021)
01:03:40
Making R Markdown Work Better for You by Alison Hill (3/24/2021)
01:23:42
TidyModels by Max Kuhn (2/24/2021)
01:00:35
Maps of Cleveland by Evan Tachovsky (12/9/2020)
52:24
Prettier R Graphs and Documents with {showtext}+{prettydoc} by Yixuan Qiu (10/28/2020)
59:10
Creating presentation-ready summary tables with {gtsummary} by Emily Zabor (9/30/2020)
01:11:25
Production R Shiny Made Easy-- the Golem Framework by Liz Nelson
01:02:00
Environmental Impact of NLP by Amber McKenzie
01:08:24
Covid19 Data Project by Rami Krispin
31:49
Project Organization: Head-Ache to GNU Make by Alec Wong
01:08:27
Real-time file import with the vroom package by Jim Hester (9/25/2019)
42:17
Contributing to Open Source by John Blischak (8/28/2019)
49:21
Survey Development by George Mount (7/31/2019)
53:11
Remote Data Science by Tim Hoolihan (6/26/2019)
01:18:42
Privacy in Machine Learning by Jason Mancuso (5/22/2019)
01:02:47
Debugging by Jim Hester (3/27/2019)
51:35
Projects Package by Nik Krieger (2/27/2019)
26:07
It Depends by Jim Hester (1/23/2019)
40:20
Conda with R by John Blischak (12/5/2018)
01:23:18
GLMs by Bryan Lewis (10/17/2018)
55:49
Lightning Talks (9/19/2018)
31:26
Santander Kaggle by Natrayan Velu (8/22/2018)
01:01:37
Machine Learning in R by Tim Hoolihan
50:22
Workflowr Package by John Blischak (5/23/2018)
24:28
Glue Package by Jim Hester (3/28/2018)
32:31
Unsupervised Learning by Bryan Lewis (3/28/2018)
52:38
TSstudio by Rami Krispin (Feb 28 2018)
48:34
R Performance by Tim Hoolihan (1/24/2018)
30:48
NFL Draft Analysis by David Kamm (11/29/2017)
01:03:43
Deep Learning by Jason Mancuso (10/25/2017)
24:31
R Consortium by John Mertic (10/25/2017)
27:59
Keras in R by Tim Hoolihan (9/27/2017)
29:15
TensorFlow in R by Bryan Lewis (9/27/2017)
30:44
Creating R Packages - Jim Hester (8/30/2017)
25:14
Docker and R by Thomas Rehman (8/30/2017)
15:49
Pipes In R by Sophia Jia (7/26/2017)
01:03:02
Kaggle: R or Python by Ryan Bales (5/24/2017)
34:37
Text Processing in R by Tim Hoolihan (5/24/2017)