|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Ppd599||1,196||5 days ago||1||mit||Jupyter Notebook|
|USC urban data science course series with Python and Jupyter|
|R||472||2 years ago||mit||R|
|Exercises (incl. analyses) with R language (math+statistics)|
|Rstats Ed||400||3 years ago|
|List of courses teaching R|
|Machine Learning Curriculum||248||4 years ago||1|
|Complete path for a beginner to become a Machine Learning Scientist!|
|Deeplearning Notes||194||7 months ago||mit|
|Notes for Deep Learning Specialization Courses led by Andrew Ng.|
|Teachingmaterial||161||2 years ago||HTML|
|Various teaching material|
|Statistical Rethinking||114||5 years ago||1||other||Rebol|
|An interactive online reading of McElreath's Statistical Rethinking|
|Bayesian Cognitive Modeling In Pymc3||90||5 years ago||Jupyter Notebook|
|PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course|
|Genstats||89||8 years ago||3||other||HTML|
|Statistics course for JHU Genomic Data Science Sequence|
|Structural Equation Modeling For Psychologists||87||a year ago||4||other||R|
|Lesson files used in the Structural Equation Modeling for Psychologists.|
Materials for a course in data visualization. Fall 2019.
Everything below is tentative/subject to modification.
Go to GitHub pages for a user-friendly (out-of-date) view.
Instructors: Ben Bolker and Jonathan Dushoff
Schedule: Tues 2:30-3:20, Friday 9:30-11:30, location TBA
Course goal/plan: A broad, practically oriented survey of data visualization from a statistical point of view.
Background: Fluency in statistical computation in (preferably) R or another programming language.
Some but not all of ...