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This repo includes ChatGPT prompt curation to use ChatGPT better.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Open source emojis for designers, developers and everyone else!
A modern static resume template and theme. Powered by Jekyll and GitHub pages.
A website displaying hundreds of charts made with Python
bcaffo / courses
Forked from DataScienceSpecialization/coursesCourse materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Beautiful and customizable model summaries in R.
A Jekyll theme inspired by Netflix. 🎬
Use RMarkdown to generate PDF Conference Posters via HTML
⭕ 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.
The bookdown version lives here: https://bookdown.org/content/3890
Drag a character with your mouse to create an animation
Slides, recording and hands-on tutorial for the USGS Data Science webinar
Personal website and discussion board of Yihui Xie | 谢益辉
Here you can find a list of resources that have and continue helping me in my process of learning/ teaching R.
Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mappi…
The Hitchhiker’s Guide to Responsible Machine Learning
Materials for the "Introduction to R Programming" workshop taught at the Hertie School Data Science Summer School (DS3)
ggimg: Graphics Layers for Plotting Image Data with ggplot2
Example quarto site without R or Python
"Effective Data Visualization: How to design impactful and aesthetically pleasing charts" by Dr. Cédric Scherer
Tidy Tuesday: https://github.com/rfordatascience/tidytuesday
Workshop materials for Getting Started with Shiny from rstudio::conf 2022