Data Science Learning Community Videos

R for Data Science: Workflow: code style (r4ds11 4)

tidyverse docs: plucking (tidyversedocs01)

Git for Book Clubs: GitHub Web Editor

ISLP: Support Vector Machines (islp01 9)

tidyverse docs: Programming with dplyr (tidyversedocs01)

Python for Data Analysis: Data Wrangling: Join, Combine, and Reshape (py4da01 8)

rlang docs: Formatting messages with cli & Customising condition messages (rlang01)

The Rust Programming Language: Programming a Guessing Game (rust01 2)

SMLTAR: Word Embeddings Part 1 (smltar01 5)

RWTF: R Startup (rwtf01 7)

usethis docs: Package development (pkgcreationdocs01)

Python for Data Analysis: Introduction to Modeling Libraries in Python (py4da01 12)

Python for Data Analysis: Plotting and Visualization (py4da02 9)

Python for Data Analysis: Plotting and Visualization: Part II (py4da02 9)

JS4R: Managing JavaScript (js4r01 20 21)

Mastering Shiny: Introduction (mshiny05 1)

ISLR: Support Vector Machines (islr05 9)

rlang docs: Metaprogramming patterns (rlang01)

Python for Data Analysis: Data Wrangling: Join, Combine, and Reshape: Part I (py4da02 8)

ShinyUI: JavaScript for Shiny (shinyui01 10)

rlang docs: Environments, the stack, and environment bindings (rlang01)

ShinyUI: Shiny inputs lifecycles (shinyui01 13)

An Introduction to Statistical Learning with Applications in Python: Statistical Learning (islp03 2)

R for Data Science Ch 11: Data Import (2020-10-02) (r4ds01)

R Packages: Function documentation (rpkgs06 16)

Tidytext Book Club: Chapter 6: Topic modeling (2021-11-17) (tidytext01)

ISLR Book Club: Chapter 5 Resampling Methods (2021-11-30) (islr01)

rlang docs: Injecting with !!, !!!, and glue syntax (rlang01)

Practical Stats for Data Scientists: Ch5: Classification (2021-07-26) (ps4ds01)

Python for Data Analysis: Data Aggregation and Group Operations (py4da01 10)

Introduction to RMarkdown and Shiny

R Packages Book Club: How do I share and promote my package? (2020-12-15) (rpkgs01)

Hands-On Machine Learning with R: Multivariate Adaptive Regression Splines (homl01 7)

JavaScript for Data Science: Introduction (js4ds01 1)

R for Data Science: Arrow (r4ds11 22)

ISLP: Classification (islp01 4)

Advanced R: Names and values (advr07 2)

DSLC Project Club: Personal Budget Manager (proj01)

R Packages: Releasing to CRAN (rpkgs04 23)

Practical Python Programming: Introduction to Python (ppp01 1)

rlang docs: Hashing, Backtraces, Handle errors, Search path, and State (rlang01)

Python for Data Analysis: Python Language Basics, IPython, and Jupyter Notebooks (py4da02 2)

Efficient R Programming: Efficient workflow (efficientr01 4)

Mastering Shiny: Shiny modules (mshiny07 19)

usethis docs: Package cleanup (pkgcreationdocs01)

Practical Python Programming: Testing and Debugging (ppp01 8)

Fundamentals of Data Visualization: Don't go 3D & Understanding image file formats (dataviz01 26 27)

Python for Data Analysis: Quarto/Python Language Basics, IPython, and Jupyter Notebooks (py4da01 2)

JavaScript for Data Science: Basic Features (js4ds01 2)

Python for Data Analysis: Built-in Data Structures, Functions, and Files (py4da01 3)