Все публикации

0:33:37

Data Scientist Reacts to AI and Machine Learning in Movies

0:41:22

TidyTuesday: Big Data Machine Learning with TidyModels and Spark

0:38:10

TidyTuesday: Modern Forecasting with Prophet and TidyModels

0:29:30

TidyTuesday: Common GGplot2 Extensions

0:44:20

TidyTuesday: A Brief Overview of ggplot2

0:26:57

TidyTuesday: Model Analysis with Autoplot and TidyModels

0:18:08

TidyTuesday: A Data Science Workflow with RStudio

0:20:05

TidyTuesday: Improving R Shiny Performance

0:28:16

TidyTuesday: Reactive Dashboards with R Shiny

0:18:08

TidyTuesday: Filtering Basics with R Shiny

0:44:04

TidyTuesday: A Brief Overview of Functional Programming with Purrr

0:23:30

TidyTuesday: A Brief Overview of Readr, Stringr, and Forcats

0:44:28

Data Scientist Ranks Every Data Visualization

0:55:00

TidyTuesday: A Brief Overview of Dplyr and Tidyr

0:23:40

TidyTuesday: Feature Elimination with TidyModels

0:15:09

TidyTuesday: Deploying Shiny Apps using Docker

0:36:55

TidyTuesday: End of Season 1 Q&A

0:21:23

UFC Sports Betting Model from Scratch: Dashboard Development

0:53:11

UFC Sports Betting Model from Scratch: Feature Engineering and Modeling

0:18:17

UFC Sports Betting Model from Scratch: Data Scraping and Cleaning

0:14:14

TidyTuesday: An Overview of Lesser-known TidyModels Packages

0:36:46

TidyTuesday: Applied Business Analytics with TidyModels

0:20:25

TidyTuesday: Flexdashboard vs Shinydashboard

0:23:07

TidyTuesday: R Shiny Dashboard Modules