Regression and Matching | Causal Inference in Data Science Part 1

Regression and Matching | Causal Inference in Data Science Part 1

Share:

Similar Tracks

How to Advance Your Data Science Career? Insights from a Facebook/Meta Data Scientist! Emma Ding

Difference-in-differences | Synthetic Control | Causal Inference in Data Science Part 2 Emma Ding

14. Causal Inference, Part 1 MIT OpenCourseWare

Causal Inference in R R Consortium

Michael Johns: Propensity Score Matching: A Non-experimental Approach to Causal... | PyData NYC 2019 PyData

Data Science Essentials – Crash Course in A/B Testing with Case Study freeCodeCamp.org

Causal Inference - EXPLAINED! CodeEmporium

A/B Testing in Data Science Interviews by a Google Data Scientist | DataInterview DataInterview

A/B Testing Fundamentals: What Every Data Scientist Needs to Know! Emma Ding

Foundations of causal inference and its impacts on machine learning webinar Microsoft Research

1. Introduction to Statistics MIT OpenCourseWare

Causal Inference in R: The Whole Game - Malcolm Barrett useR! Conference

An introduction to Causal Inference with Python – making accurate estimates of cause and effect from PyCon AU

Propensity scores: Everything you need to know in 5min Michael Fralick

Introduction to Causal Inference: Propensity Score Analysis in Healthcare Data Population Data BC

Causal Inference with Machine Learning - EXPLAINED! CodeEmporium

Linear Regression, Clearly Explained!!! StatQuest with Josh Starmer

Inferring Causal Relationships from Observational Data Sets w/ Richard Golden, PhD CenterforBrainHealth

Crack A/B Testing Problems for Data Science Interviews | Product Sense Interviews Emma Ding

Causal Inference | Answering causal questions Shaw Talebi