kapelner
I'm an Assoc. Prof. of Math at Queens College (NYC) where I run the undergrad Data Science major, my PhD is in Statistics, my research is in experimental design
Queens College, CUNY; Technion, Israel Institute of TechnologyNew York City
Pinned Repositories
bartMachine
An R-Java Bayesian Additive Regression Trees implementation
GemIdent
An image segmentation platform using Statistical Learning developed by Professor Susan Holmes and Adam Kapelner, under GPL2.
ICEbox
An R package for better visualizing a statistical learning model
QC_Math_241_Fall_2017
This is the homepage for Fall 2017's Math 241 taught at Queens College by Professor Adam Kapelner
QC_MATH_340_Fall_2023
Course Homepage for Math 340 / 640 Probability Theory for Data Science and Statistics at Queens College
QC_MATH_342W_Spring_2021
Course Homepage for Math 342W Intro to Data Science and Machine Learning at Queens College
QC_MATH_342W_Spring_2022
Course Homepage for Math 342W Intro to Data Science and Machine Learning at Queens College
QC_MATH_342W_Spring_2024
Course Homepage for Math 342W / 642 / RM 742 Fundamentals of Data Science at Queens College
QC_Math_621_Fall_2020
Wharton_Stat_422_722
The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017
kapelner's Repositories
kapelner/bartMachine
An R-Java Bayesian Additive Regression Trees implementation
kapelner/ICEbox
An R package for better visualizing a statistical learning model
kapelner/QC_MATH_342W_Spring_2021
Course Homepage for Math 342W Intro to Data Science and Machine Learning at Queens College
kapelner/QC_MATH_342W_Spring_2024
Course Homepage for Math 342W / 642 / RM 742 Fundamentals of Data Science at Queens College
kapelner/GemIdent
An image segmentation platform using Statistical Learning developed by Professor Susan Holmes and Adam Kapelner, under GPL2.
kapelner/QC_MATH_342W_Spring_2022
Course Homepage for Math 342W Intro to Data Science and Machine Learning at Queens College
kapelner/QC_Math_621_Fall_2020
kapelner/QC_MATH_340_Fall_2023
Course Homepage for Math 340 / 640 Probability Theory for Data Science and Statistics at Queens College
kapelner/QC_MATH_241_Fall_2021
The course homepage for Math 241 Fall 2021
kapelner/QC_Math_390.4_Spring_2020
Course Homepage for Math 390.4 Intro to Data Science and Machine Learning at Queens College in the Spring, 2020
kapelner/QC_MATH_340_Fall_2024
Course homepage for Math 340 / 640 at Queens College, CUNY
kapelner/QC_MATH_341_Fall_2024
Course homepage for Math 341 / 641 at Queens College, CUNY
kapelner/QC_Math_341_Spring_2021
kapelner/fastLogisticRegressionWrap
The public repository for the R package fastLogisticRegressionWrap on CRAN
kapelner/QC_MATH_341_Fall_2023
Course Homepage for Math 341 / 641 Statistical Theory for Data Science at Queens College
kapelner/QC_MATH_343_Spring_2024
Course Homepage for Math 343 Computational Statistics for Data Science at Queens College
kapelner/YARF
Yet Another Random Forests [Implementation]
kapelner/bare_example_Rcpp
kapelner/blocking_optimal_general_response
kapelner/fastHurdleNegBinomRegression
kapelner/GreedyExperimentalDesign
A means of computing near optimal experimental designs for a two-arm experiment with covariates
kapelner/matching_on_the_fly_designs_R_package_and_paper_repr
Code for the R package SeqExpMatch and the code to reproduce the simulations in our paper "A Matching Procedure for Sequential Experiments that Iteratively Learns which Covariates Improve Power"
kapelner/optDesignSlopeInt
An R package which helps practitioners optimally design experiments that measure the slope divided by the intercept
kapelner/QC_Math_203_Fall_202x
kapelner/QC_Math_243_Fall_202x
kapelner/QC_MATH_368_Fall_2021
The course homepage for Math 368/621 Fall 2021
kapelner/QC_MATH_369_Fall_2021
The course homepage for Math 369/690 Fall 2021
kapelner/QC_MATH_390_Spring_2022
kapelner/QCbasementGBM
Creates a gradient boosting model fit and predicts
kapelner/syllabi