casual-inference

There are 13 repositories under casual-inference topic.

  • vkoul/Econ-Data-Science

    Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:

    Language:HTML1309134

  • kailiang-zhong/DESCN

    Implementation of paper DESCN, which is accepted in SIGKDD 2022.

    Language:Jupyter Notebook971616

  • libo-huang/Awesome-Causal-Reinforcement-Learning

    [TNNLS-2024, arXiv-2023.2.10] Official repository of "A Survey on Causal Reinforcement Learning"

    46103

  • candostdagdeviren/flying-ml-dl-ai

    Just to keep track of nice blog posts and new announcements related to machine learning, deep learning and artificial intelligence

    8500

  • SourangshuGhosh/py-bbn

    Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

    Language:Jupyter Notebook310

  • wu-zhengdong/ClinicalTools

    Clinical-AI Research Framework

    Language:Jupyter Notebook3101

  • abel-blue/breastCancer-causal-Inference

    Important link of cancer epidemiology and cancer prevention.

    Language:Jupyter Notebook1171

  • stevenli-uoft/Causal_Inference_Project

    The Impact of Uber on Taxi Rides: A Causal Inference Study

    Language:Python1150

  • cmdecesaris/Casual-Inference-Gun-Laws

    Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.

    Language:CSS0100

  • lianxhcn/CIP

    Causual Inference using Panel Data

    0100

  • venkat-a/GoodBelly-Marketing-Analytics-Project

    Marketing strategies on the sales volume and average retail price (ARP) of Good Belly products. Using a dataset encompassing sales, promotions, and demographic information across multiple regions, this project employs causal analysis and multiple linear regression to provide insights into the effectiveness of marketing activities.

    0100

  • 0xnu/b_learner_experiment

    401k_verification, the C program simulates and analyses a 401K dataset, implementing the B-Learner method to estimate bounds for the Conditional Average Treatment Effect (CATE).

    Language:C10

  • Doro97/Breast-Cancer-Diagnosis

    Causal inference can be defined as the process by which causes are inferred from the data. In this project, data from breast cancer diagnosis is analyzed and causes inferred from this analysis.

    Language:Jupyter Notebook13