xhw197
Faculty at @U of Rochester @UR_Med @WilmotCancer. @AcademyHealth Method Council. @CHPAMS BoD. Associate Editor @HSRatBMC . #cancer #nursinghome #datasci
University of Rochester Medical CenterRochester, NY
xhw197's Stars
HarborLibrary/Political-Science
政治
JieYingWu/COVID-19_US_County-level_Summaries
Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread
YiyeZhangLab/DICE
paulgp/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
echen102/COVID-19-TweetIDs
The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.
USCOVIDpolicy/COVID-19-US-State-Policy-Database
data2health/data-harmonization
Supporting multi-center research requires combining data created in different data models; this community coordination project aims to provide an data model adaptor for CTSA hubs.
nytimes/covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
asacarny/hospital-cost-reports
Code to process the CMS hospital cost reports (HCRIS)
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
compsocialscience/summer-institute
Summer Institutes in Computational Social Science
swager/causalForest
DEPRECATED. See new generalized random forest package for up-to-date implementation.
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
koalaverse/homlr
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
brentonk/rochester-dissertation-template
LaTeX template for PhD dissertations at the University of Rochester
dmlc/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, Dask, Flink and DataFlow
PacktPublishing/Machine-Learning-for-Healthcare-Analytics-Projects
Published by Packt
arilamstein/choroplethr
choroplethr simplifies the creation of choropleths (thematic maps) in R
culturedbun/pandas-exercises
Walkthrough exercises from PandasTutorial by Wes McKinney.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
ck37/superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
hadley/ggplot2-book
ggplot2: elegant graphics for data analysis
clauswilke/dataviz
A book covering the fundamentals of data visualization
koalaverse/vip
Variable Importance Plots (VIPs)
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
tdpetrou/Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
h2oai/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
parrt/msds501
Course notes for MSDS501, computational boot camp, at the University of San Francisco
rstudio/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.