GitHub topics: causal-analysis

Repositories

EthanChungBU/BU_MSBA_830

Business Experimentation: A/B Testing

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mikenguyen13/data_analysis

Streamline a data analysis process

Language: HTML - Size: 2.75 GB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 73 - Forks: 40

cfmzk/app

Zero-Knowledge Proofs Integrated with Crossmodal and Foundational Models for Causal Analysis of Crypto Market Performance

Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

MLResearchAtOSRAM/cause2e

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Language: Python - Size: 8.52 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 58 - Forks: 4

Syed-Amjad-Ali/Norway-Electricity-PrivateCar-Impact-Analysis

Analyzing data from Statens Vegvesen and Nord Pool, this project explores the impact of electricity price fluctuations on private car usage in Norway's major cities, uncovering key insights into transportation trends.

Language: R - Size: 2.14 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

CEBaBing/CEBaB

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

Language: Python - Size: 35.8 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3

stevius10/ReasoningModel

Framework for AI-driven iterative problem-solving, causal analysis, and self-improvement through continuous learning.

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OpenSourceEconomics/ose-course-data-science

course on data science for economists

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alexware69/cid3

Full-featured Decision Trees and Random Forests learner.

Language: Kotlin - Size: 62.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 0

mikenguyen13/causalverse

CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.

Language: R - Size: 12.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

SamDewriter/BreastCancer-CausalityInference

The repository shows an approach to perform casual inference on Breast Cancer Data. Causal inference is carried out to determine the independent, actual effect of breast cancer that is component of a larger system

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Marketing-Analytics-MSBA/Boeing

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drmuskangarg/CAMS

This repository is created to support the paper 'CAMS: An Annotated Corpus for Causal Analysis of Mental health on Social media' which is submitted to Language Resources and Evaluation Conference 2022 we introduce a new dataset for Causal Analysis of Mental health illness in Social media posts (CAMS). We first introduce the annotation schema for this task of causal analysis. The causal analysis comprises two types of annotations, viz, causal interpretation and causal categorization. We show the efficacy of our scheme in two ways: (i) crawling and annotating 3155 Reddit data and (ii) re-annotate the publicly available SDCNL dataset of 1896 instances for interpretable causal analysis. We further combine them as CAMS dataset.

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raquelbaeta/r-government-expenditure-and-drug-seizures-2017

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

Language: R - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0