Duration: (21:10) ?Subscribe5835 2025-02-20T21:16:33+00:00
Riffomonas: a method to learn reproducible data science
(5:19)
Reproducible Data Science with Machine Learning
(26:22)
Reproducibility in Data Science | NYU
(31:49)
Checking a reproducible data analysis using make, git, and R: Testing with new data! (CC075)
(33:51)
Reproducible data dependencies for Jupyter - Jackson Brown, Aneesh Karve
(35:56)
Reproducible Data Analysis with Revolution R Open
(21:10)
Data Cleaning in (early) 2025: Feasibility of AI Tools
(59:59)
Reproducible Data Analysis in Pathology and Lab Medicine (Stephan Kadauke, Amrom Obstfeld)
(16:41)
Andreas Schreiber - Provenance for Reproducible Data Science
(33:37)
Reproducible Data Analysis in Jupyter, Part 10/10: Cleaning-up the Notebook
(8:25)
IT\u0026I Rants and Raves: Reproducible Data Pipelines in Modern Data Science
(56:41)
Johannes Köster: Reproducible Data Analysis with Snakemake
(19:59)
What Is Reproducible Data Analysis? - The Friendly Statistician
(3:3)
Reproducible data analysis with Snakemake
(1:49)
Karthik Ram | A guide to modern reproducible data science with R | RStudio (2019)
(20:58)
EARL 2015 - Reproducible Data Analysis - Armando Vieira
(10:)
Reproducible Data Analysis with Snakemake
(25:4)
Kirstie Whitaker: The Turing Way: A how to guide for reproducible research | PyData London 2019
(33:28)