causal-analysis

There are 0 repository under causal-analysis topic.

OpenSourceEconomics / ose-course-data-science
course on data science for economists
causal-analysis econometrics economics scientific-computing statistics
Language:Jupyter Notebook 90
mikenguyen13 / data_analysis
Streamline a data analysis process
causal-analysis causal-inference causal-models causality data-science data-visualization datascience guide guidebook machine-learning machinelearning statistical-analysis statistical-inference statistical-learning statistical-methods statistics statistics-course r
Language:HTML 63
MLResearchAtOSRAM / cause2e
The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
causal-analysis dowhy domain-knowledge tetrad python causal-reasoning causal-inference causal-models causality
Language:Python 56
CEBaBing / CEBaB
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
causal-analysis conexp language-model lime tcav conceptshap causallm inlp
Language:Python 11
alepedia69 / cid3
Full-featured Decision Trees and Random Forests learner.
decision-trees random-forest machine-learning causal-analysis certainty causal-certainty certainty-raising-inequality probability-raising-inequality
Language:Kotlin 5
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.
causal-analysis mental-health-disorders social-media-posts
Language:Jupyter Notebook 4
limorigu / causal-inference-handbook
Friendly introduction to causal inference
causal-inference causality causal-models machine-learning causal-discovery causal-analysis
Language:Jupyter Notebook 2
AnanduR32 / Datascience
My journey through data science
analytics api beautifulsoup4 caret causal-analysis datascience experimental-analysis exploratory-analysis json-api mysql pandas python3 r rprogramming sql sqllite visualization
Language:Jupyter Notebook 1
intoread / Causal-Analysis-and-Dynamic-Spatial-Modeling
Code for investigating the factors affecting GRDP in a provincial level, and the short‑term, long‑term, and overall effects of the affecting variables.
causal-analysis dynamic-spatial-panel-modeling spatial-panel-data
Language:R 1
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.
causal-analysis causal-inference causal-models causality causality-analysis package r
Language:R 1
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
causal-inference causal-analysis machine-learning
Language:Jupyter Notebook 1
AlejoAcelas / Interp-Benchmarks
Reversed-engineered Transformer models as a benchmark for interpretability methods
benchmark causal-analysis mechanistic-interpretability pytorch
Language:Jupyter Notebook 0
apoorvadudani / Forecasting-House-Prices-using-Multivariate-Causal-Regression
I use Microsoft Excel to forecast house prices for Damian Realty, identify factors affecting house prices using causal analysis, and provide inferences for realty stakeholders
causal-analysis multivariate-causality-analysis multivariate-regression pearson-correlation time-series-analysis time-series-forecasting
0
junyzhou10 / metaDTR
Learning Dynamic Treatment Regime (DTR) via meta-learners
causal-analysis causal-inference dynamic-treatment-regimens machine-learning metalearning
Language:R 0
noname31157 / KCRL
This is the public repository of the code implementation for KCRL.
causal-analysis causal-discovery causal-machine-learning causal-modeling causality prior-knowledge-integration reinforcement-learning-agent
Language:Python 0
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.
bivariate-analysis causal-analysis data-cleaning data-transformation multiple-regression univariate-analysis
Language:R 0

causal-analysis

OpenSourceEconomics / ose-course-data-science

mikenguyen13 / data_analysis

MLResearchAtOSRAM / cause2e

CEBaBing / CEBaB

alepedia69 / cid3

drmuskangarg / CAMS

limorigu / causal-inference-handbook

AnanduR32 / Datascience

intoread / Causal-Analysis-and-Dynamic-Spatial-Modeling

mikenguyen13 / causalverse

SamDewriter / BreastCancer-CausalityInference

AlejoAcelas / Interp-Benchmarks

apoorvadudani / Forecasting-House-Prices-using-Multivariate-Causal-Regression

junyzhou10 / metaDTR

noname31157 / KCRL

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