ck37/varimpact

Stars
57
Rank 522,947 (Top 11 %)
Language
R
Created over 8 years ago
Updated over 1 year ago

ck37/varimpact

ck37

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Variable importance through targeted causal inference, with Alan Hubbard

coral-ordinal

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

superlearner-guide

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

ck37r

R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.

atlantic-causal-2017

Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition

Predictive-Modeling-in-R

Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.

featurerank

Ensemble feature ranking for SuperLearner variable selection

randomize_ado

Stata module for random assignment, including blocking, balance checking, and automated rerandomization.

hpc-savio-xsede

Multicore and multi-node parallel R computation via SLURM on the Savio cluster at UC Berkeley, plus XSEDE

garden-iot

Automated garden system for my office

htestimate

Horvitz-Thompson estimator for RCTs, with Joel Middleton

ppmi-challenge-2016

Parkinson's Progression Marker Initiative data science challenge, 2016

kp-dsc-2018

Kaiser Permanente Data Science Competition 2018

clinsent

Estimate sentiment in clinical notes via keywords or deep learning models

google_geocoder.py

Geocodes a text file using the Google Maps API.

concise-r

A concise introduction to R programming and data analysis

intrees-stel

Customization of Houtao Deng's inTrees-STEL analysis

gmail_add_emails.py

Add a file of emails into a gmail contact list.

mimic-clinical-sentiment

Manuscript under review

Jupyter Notebook

toxic-comments-fastai-pytorch

Analyzing Jigsaw's toxic comments Kaggle challenge using fastai + pytorch

Jupyter Notebook

vip-polling-place

Determine the polling place for records listed in a text file, using Google's Voter Information Project API.

the-matrix-154

Text analytics project for Stat 154 Statistical Learning at UC Berkeley, Fall 2015.

rcteval_ado

Stata module to evaluate randomized controlled trials using a systematic methodology.

tlmixture

Data-adaptive creation of exposure (treatment) mixtures using targeted learning