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Hunan University of Chinese Medicine
- https://medai.vip/
Starred repositories
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。
AI education materials for Chinese students, teachers and IT professionals.
用 Vue3 和 Go 搭建的微软 New Bing 演示站点,拥有一致的 UI 体验,支持 ChatGPT 提示词,国内可用。
Official repo for the #tidytuesday project
Convert PDF to HTML without losing text or format.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
A frictionless, pipeable approach to dealing with summary statistics
Beautiful and customizable model summaries in R.
This is my (deprecated) suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. DOWNLOAD {stevetemplates} INSTEAD.
Use RMarkdown to generate PDF Conference Posters via HTML
A step-by-step guide to getting started with Git and GitHub for beginners.
A website that displays hundreds of R charts with their code
Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China
💌 Create simple, beautiful personal websites and landing pages using only R Markdown.
⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
Tutorials on phylogenetic and phylogenomic inference
A GitBook version of the R Crash Course self-tutorials: https://colauttilab.github.io/RCrashCourse
R package for collaborative writing and editing of R Markdown (or Sweave) documents in Google Docs.
Materials for a workshop on writing reproducible research papers with R Markdown
Materials for the Teaching statistics and data science online workshops in July 2020
Makes it easy to read REDCap Projects into R
Slides and teaching materials for a two day R Markdown workshop at the Project TIER Faculty Development Workshop, St. Anne’s College, University of Oxford, March 12-13 2019.
package for the workshops of "Learning R with Dr. Hu"