Harbor Wang's repositories
python-for-r-users-workshop
Material for the Python for R Users workshop
R4DS
R for Data Science
regexcite
What the Package Does (One Line, Title Case)
DataExplorer
Automate Data Exploration and Treatment
pydata-book-wesm
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
supervised-ML-case-studies-course
Supervised machine learning case studies in R! 💫 A free interactive tidymodels course created by Julia Silge
r4ds-instructors
Instructors' Guide to accompany "R for Data Science"
Advanced-R
My learning code and notes for the book Advanced R
tidy-ds
Tidy data-science workshop
r4ds-exercise-solutions
Exercise solutions to "R for Data Science"
tidyds-2021
A 5-day workshop introducing the tidyverse and tidymodels for data analysis.
books
存放重要的文档和电子书
harborwang.github.io
My own github page.
rstudio-conf
Materials for rstudio::conf
tidyquant
Bringing financial analysis to the tidyverse
storytelling-with-data-ggplot
Recreation of Cole Nussbaumer Knaflic's Storytelling with Data plots using R an ggplot2
applied-ml
Code and Resources for "Applied Machine Learning"
dataviz
Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
intro-to-ml-tidy
Intro to Machine Learning with the Tidyverse
rmarkdown-dashboard
The R Markdown and Interactive Dashboards Workshp at rstudio::conf 2020
remaster-the-tidyverse
This is a planning repository where I develop Tidyverse-related workshops.
sparklyr-learning-note
My note of learning sparklyr
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
github-slideshow
A robot powered training repository :robot:
row-oriented-workflows
Row-oriented workflows in R with the tidyverse
Data-Analysis-with-R
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning