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9 search results found

A resource list for causality in statistics, data science and physics

Datascience_interview_questions ⭐ 181

My Solutions to 120 commonly asked data science interview questions.

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Shapley_regressions ⭐ 22

Statistical inference on machine learning or general non-parametric models

Perform inference on algorithm-agnostic variable importance

Perform inference on algorithm-agnostic variable importance in Python

Fast Bayesian Hidden Markov Model with Wavelet Compression

Some collection of codes that are used in data mining and data science related fields, developed by me

Tmleworkshop ⭐ 6

Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.

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