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awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. New PR ☛☛☛

code-hints

These are code exercises in several programming languages

coursera-data-science-specialization

Some Code from/for (the First 5 Courses in) Coursera Data Science Specialization (Taken/Completed in Jan.-Mar. 2016)

fundarprogstatistics

R code for the video course examples

glmm-course

Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R

labs

Labs for Statistics with R Specialization

lm-glm-gam-udemy-

LM&GLM&GAM(Udemy)

machine-learning-in-r

Machine learning Regression models in R

moderndiver-book

ModernDive: An Introduction to Statistical and Data Sciences via R at http://www.moderndive.com

montecarlo

Udemy Monte Carlo Simulation

mspa-401-introduction-to-statistical-analysis

MSPA 401 related course work

mybooks

packages_learning

probability-r-examples

Basic probability examples with R programming language.

purduecourses

r

r-basic-programs

R programs

r-reference-card

R cheet sheet to refresh important functions and progamming skills

r-shinyapp-tutorial

rbooks

A curated list of #rstats books

ria2

Source code for R in Action, Second Edition

st516

Foundations of Data Analytics

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

stats202a

Assignments of the Stats 202A course of UCLA. Coded a R Package which includes Linear Regression, Logistic Regression, PCA, Spline and Ridge Regression