Showing 7 of total 7 results (show query)
statswithr
statsr:Companion Software for the Coursera Statistics with R Specialization
Data and functions to support Bayesian and frequentist inference and decision making for the Coursera Specialization "Statistics with R". See <https://github.com/StatsWithR/statsr> for more information.
Maintained by Merlise Clyde. Last updated 4 years ago.
bayesian-inferencecourserastatistics
14.4 match 71 stars 7.80 score 880 scripts
jhudsl
crsra:Tidying and Analyzing 'Coursera' Research Export Data
Tidies and performs preliminary analysis of 'Coursera' research export data. These export data can be downloaded by anyone who has classes on Coursera and wants to analyze the data. Coursera is one of the leading providers of MOOCs and was launched in January 2012. With over 25 million learners, Coursera is the most popular provider in the world being followed by EdX, the MOOC provider that was a result of a collaboration between Harvard University and MIT, with over 10 million users. Coursera has over 150 university partners from 29 countries and offers a total of 2000+ courses from computer science to philosophy. Besides, Coursera offers 180+ specialization, Coursera's credential system, and four fully online Masters degrees. For more information about Coursera check Coursera's About page on <https://blog.coursera.org/about/>.
Maintained by Aboozar Hadavand. Last updated 4 years ago.
15.1 match 2 stars 4.15 score 14 scriptsjhudsl
ottrpal:Companion Tools for Open-Source Tools for Training Resources (OTTR)
Tools for converting Open-Source Tools for Training Resources (OTTR) courses into Leanpub or Coursera courses. 'ottrpal' is for use with the OTTR Template repository to create courses.
Maintained by Candace Savonen. Last updated 13 days ago.
5.6 match 3 stars 6.50 score 10 scripts 1 dependents
objornstad
epimdr2:Functions and Data for "Epidemics: Models and Data in R (2nd Edition)"
Functions, data sets and shiny apps for "Epidemics: Models and Data in R (2nd edition)" by Ottar N. Bjornstad (ISBN: 978-3-031-12055-8) <https://link.springer.com/book/9783031120558>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the Coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
Maintained by Ottar N. Bjornstad. Last updated 2 years ago.
0.8 match 19 stars 3.98 score
dbolotov
amelie:Anomaly Detection with Normal Probability Functions
Implements anomaly detection as binary classification for cross-sectional data. Uses maximum likelihood estimates and normal probability functions to classify observations as anomalous. The method is presented in the following lecture from the Machine Learning course by Andrew Ng: <https://www.coursera.org/learn/machine-learning/lecture/C8IJp/algorithm/>, and is also described in: Aleksandar Lazarevic, Levent Ertoz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava (2003) <doi:10.1137/1.9781611972733.3>.
Maintained by Dmitriy Bolotov. Last updated 6 years ago.
0.5 match 3.70 score 6 scripts
kgdunn
pid:Process Improvement using Data
A collection of scripts and data files for the statistics text: "Process Improvement using Data" <https://learnche.org/pid> and the online course "Experimentation for Improvement" found on Coursera. The package contains code for designed experiments, data sets and other convenience functions used in the book.
Maintained by Kevin Dunn. Last updated 6 years ago.
0.5 match 2 stars 3.07 score 66 scriptsobjornstad
epimdr:Functions and Data for "Epidemics: Models and Data in R"
Functions, data sets and shiny apps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
Maintained by Ottar N. Bjornstad. Last updated 5 years ago.
0.8 match 1.65 score 45 scripts