Payam Mokhtarian's repositories
CLT-Normality
Central Limit Theorem - Normal distribution simulation
Data-Generating-System
Model-based spatially correlated clustered data generating system
data-science-examples
A collection of data science examples implemented across a variety of languages and libraries.
Deep-Learning-with-h2o-in-R
Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository
h2o-3
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
h2o-flow
Web based interactive computing environment for H2O
h2o-sparkling
DEPRECATED! Use https://github.com/h2oai/sparkling-water repository! H2O and Spark interoperability based on Tachyon.
h2o-training
training material
LMM-Bootstrapping
Bootstrapping clustered data under linear mixed models
M-quantile
M-quantile regression
MyProject
A list of my developed project
NL-Logestic
Boundery decision using non-linear logistic regression
RobustLMM
Robust linear mixed model - RSAE
shiny-sandbox
Testbox for Shiny package from RStudio
sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
speakingurl
Generate of so called "static" or "Clean URL" or "Pretty URL" or "nice-looking URL" or "Speaking URL" or "user-friendly URL" or "SEO-friendly URL" or "slug" from a string.
VCE-LMM-EM
Variance component estimates under linear mixed model using EM algorithm
webinars
Code and slides for RStudio webinars
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