HappyMutantLM

VQI, All things vascular and Bayes. Oh, and coffee.

Starfleet CommandNCC-1701

Pinned Repositories

bayescogsci
Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
Language:HTML0 0 00
BayesLMMTutorial
Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
0 1 00
bsrt_ml4h
Course website for Machine Learning for Health in the Basic Sciences Research Track
Language:Jupyter Notebook0 0 00
cwd_interpretation_R
R code for interpretation of CW Doppler signals
Language:R0 1 00
Hands-on-SIgnal-Processing-with-Python-Book
Python code and data to the manuscript "Hands-on Signal Analysis with Python"
Language:Jupyter Notebook0 1 00
IntroductionBDA
An Introductiion to Bayesian Data Analysis
Language:TeX0 1 00
mastering-pycharm-course
Course demos and handouts for Talk Python's Effective PyCharm course
Language:Python00
NSQIP
Code accompanying the paper "Deep Learning in Surgery - Assessing The Utility of Deep Neural Networks in Predicting Postoperative Surgical Complications: A Retrospective Study"
Language:Jupyter Notebook0 1 00
nsqip_procedurespecific
Predict procedure specific outcomes from the NSQIP database using neural networks and logistic regression
Language:Jupyter Notebook00

HappyMutantLM's Repositories

HappyMutantLM/bayescogsci
Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
Language:HTML0 0 00
HappyMutantLM/BayesLMMTutorial
Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
0 1 00
HappyMutantLM/bsrt_ml4h
Course website for Machine Learning for Health in the Basic Sciences Research Track
Language:Jupyter Notebook0 0 00
HappyMutantLM/cwd_interpretation_R
R code for interpretation of CW Doppler signals
Language:R0 1 00
HappyMutantLM/Hands-on-SIgnal-Processing-with-Python-Book
Python code and data to the manuscript "Hands-on Signal Analysis with Python"
Language:Jupyter Notebook0 1 00
HappyMutantLM/IntroductionBDA
An Introductiion to Bayesian Data Analysis
Language:TeX0 1 00
HappyMutantLM/mastering-pycharm-course
Course demos and handouts for Talk Python's Effective PyCharm course
Language:Python00
HappyMutantLM/NSQIP
Code accompanying the paper "Deep Learning in Surgery - Assessing The Utility of Deep Neural Networks in Predicting Postoperative Surgical Complications: A Retrospective Study"
Language:Jupyter Notebook0 1 00
HappyMutantLM/nsqip_procedurespecific
Predict procedure specific outcomes from the NSQIP database using neural networks and logistic regression
Language:Jupyter Notebook00
HappyMutantLM/pcc_2e
Online resources for Python Crash Course (Second Edition), from No Starch Press
Language:HTML0 1 00
HappyMutantLM/practical-statistics-for-data-scientists
Code repository for O'Reilly book
Language:Jupyter Notebook00
HappyMutantLM/pragmatic-git-course
Up and Running with Git: A pragmatic, UI-based Approach Course Repo
Language:Python00
HappyMutantLM/pyACA
Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
Language:Python1 0
HappyMutantLM/VQI_ingestion
Several R scripts for loading VQI data

HappyMutantLM

Pinned Repositories

bayescogsci

BayesLMMTutorial

bsrt_ml4h

cwd_interpretation_R

Hands-on-SIgnal-Processing-with-Python-Book

IntroductionBDA

mastering-pycharm-course

NSQIP

nsqip_procedurespecific

HappyMutantLM's Repositories

HappyMutantLM/bayescogsci

HappyMutantLM/BayesLMMTutorial

HappyMutantLM/bsrt_ml4h

HappyMutantLM/cwd_interpretation_R

HappyMutantLM/Hands-on-SIgnal-Processing-with-Python-Book

HappyMutantLM/IntroductionBDA

HappyMutantLM/mastering-pycharm-course

HappyMutantLM/NSQIP

HappyMutantLM/nsqip_procedurespecific

HappyMutantLM/pcc_2e

HappyMutantLM/practical-statistics-for-data-scientists

HappyMutantLM/pragmatic-git-course

HappyMutantLM/pyACA

HappyMutantLM/VQI_ingestion