atobrien

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

cibookex-r

Causal Inference: What If. R and Stata code for Exercises

Predicting-optimal-invasive-care-treatment-window-in-the-ICU

This repository is to document and store work on optimizing patient well being when offered invasive care in the ICU

ada-practice

ada_pizza

ada_tareas_proyecto

Este es un repositorio para las tareas y proyectos de ADA school

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

DAND_2017_2018

Data analyst nanodegree

Predicting-first-24-hour-mortality-with-multiple-ML-methods

Data science I biostatistics course final at Harvard

Validation-of-the-Oxygen-Dissociation-Curve-in-the-Critically-Ill

applied-ml

📚 Papers of companies sharing their work on applied data science & machine learning.

Causal-inference-code

R code written for causal inference

lmtp

:package: Non-parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies :crystal_ball:

shiny-app-webinar

Content for "How to Build a Shiny App From Scratch" webinar