We R KaggleRs - At the Intersection of Data Science Communities
summary
Claims being tested: practical path for R users to thrive on Kaggle by building notebooks using tidyverse, leaflet, tidytext, ARIMA/Prophet and Kaggle Notebooks. Evidence: created a weekly series highlighting 300 hidden gems (≈75% Python, 25% R) and organized an insights competition based on a CRAN packages dataset with release history. Outcomes: a first Notebooks Grandmaster title earned via community votes, a prize-winning exploratory notebook that used interactive maps, and an open dataset that attendees can fork and analyze on Kaggle.
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chapters (11)
- 0:00Introduction
- 0:33What is Kaggle
- 1:34How I joined Kaggle
- 4:39Writing Kaggle notebooks
- 7:35Kaggle competitions
- 11:18Methodology communication
- 11:41Visuals
- 12:31Documentation
- 14:19Python Notebooks
- 14:52Kaggle Data Set
- 15:26Conclusion
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