We R KaggleRs - At the Intersection of Data Science Communities
summary
Kaggle's first Notebooks Grandmaster describes building EDA-first notebooks, winning a community-voted prize with an interactive leaflet map for NYC taxi data, and running a weekly series that unearthed 300 hidden gems where 3/4 of notebooks are Python and 1/4 R. A community competition explored a 100-episode Kaggle insights dataset, and a downloadable CRAN packages dataset with release history is published so attendees can fork a notebook and start analyzing immediately.
AI-written summary · about
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
related talks
16mWe R KaggleRs - At the Intersection of Data Science Communities
15mFast-tracking your AI Career with Kaggle
45mData Science Apps: Beyond Notebooks
43mAdvanced Data Visualizations In Jupyter Notebooks
04h 02mHands-on Session on Data Science for Beginners
48mHuman data interactions: experiments in how humans analyze data
01h 49mData Analytics for Beginners
25mTo Notebook or Not to Notebook: Multilingual Workflows for Data Analysis
