socalrug/hackathon-2020-04 socalrug/hackathon-2020-04

  • Stars
    star
    1
  • Language
    R
  • Created almost 5 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
socalrug/hackathon-2020-04
github

socalrug

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

2020-04 hackathon

More Repositories

1

presentations

HTML
42
star
2

hackathon-2019-05

Hackathon files for participants
HTML
9
star
3

socalr.org

Source code for the Southern California R Users Website
HTML
8
star
4

regression_models_2020-10-13

Regression Models with R Applications
HTML
7
star
5

hackathon-2023-04

Data Science Hackathon for April 22-23 2023
R
6
star
6

bookclub

Material for the book club
Jupyter Notebook
6
star
7

nonparametric_analysis_2022-01-22

Short course Nonparametric Analysis: A Primer
R
5
star
8

hackathon-2022-04

Data Science Hackathon for April 2-3 2022
HTML
5
star
9

hackathon-2024-04

Data Science Hackathon for April 2024
HTML
5
star
10

advanced_regression_2022-10-01

Advanced Regression Models with R Applications
R
4
star
11

stochastic_processes_2023-02-11

Introduction to Stochastic Processes
R
3
star
12

regression_models_2021-02-09

Modeling Normally Distributed Data with Repeated Measures
R
3
star
13

msba-python-workshop-2023-08

Introduction to Python for the MSBA program
Jupyter Notebook
2
star
14

hackathon-2019-11

2019-11 OCRUG Hackaton
HTML
2
star
15

website

ocrug.org website
HTML
2
star
16

advanced_regression_2019-10-05

Advanced Regression Models with R Applications
R
2
star
17

msba-python-workshop-2020-07

Merage School of Business MSBA Python Workshop, July 20202
Jupyter Notebook
1
star
18

msba-python-workshop-2022-07

Introduction to Python for the MSBA program
Jupyter Notebook
1
star
19

hackathon-2021-04

Repository for the OCRUG Hackathon - April 2021
R
1
star
20

tableau-2021-03-09

From Data to Dashboards in a Day
1
star
21

2024_MLWorkshop

In this workshop, we'll study supervised machine learning methods using R
R
1
star
22

2024-Workshop1

2024-Workshop1
HTML
1
star