Welcome to The Repo! 🚀
Great work deserves to be shared. Especially in data science.
Each week, I'll curate three gems from the data science community:🗄️ Re: Remarkable Repository 💻 P: Prolific Programmer 🏢 O: Outstanding OrganizationI hope you find them as valuable and insightful as I do.
You can find all recommendations in the GitHub repository at finnoh/repo!
teaserbot-labs/delightful-open-science
🗄️ Repository | A comprehensive open-science resource
The Open Science Repository is a diverse resource covering all aspects of Open Science, from open-access publishing and peer review to open data and persistent identifiers (e.g. ORCID). It offers introductions, news, organizations, tools, and more to support a transparent and collaborative scientific community. This open repository encourages contributions and provides a one-stop hub for Open Science enthusiasts.
Lucy D’Agostino McGowan & Nick Strayer
💻 Programmer | Live free or dichotomize: Many nifty tricks in data science
“Live Free or Dichotomize" is a blog authored by Lucy D’Agostino McGowan and Nick Strayer, an assistant professor of statistics and visual data scientist respectively. They delve into data science and statistics with insightful articles on R, Quarto, and statistical phenomena.
Recent topics include the advantages of using wrong variables for imputation, the relevance of imputation in unbiased analysis, and a demonstration of neural networks as souped-up linear models.
DrivenData
🏢 Organization | Data Science competitions for a better world
DrivenData is an organization that pioneers data science and crowdsourcing to tackle global social challenges. They package questions of interest into data science challenges in collaboration with mission-driven organizations and host online competitions.
DrivenData believes data can do more than measure impact; it can drive transformative change across industries through machine learning and predictive analytics, making it a standout force in data-driven social impact.
Some of the current competitions include a project with the NIH on improving the prediction of Alzheimer’s and dementia and modeling earthquake damage.
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