Trending repositories for topic econometrics
Statsmodels: statistical modeling and econometrics in Python
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
Lightning ⚡️ fast forecasting with statistical and econometric models.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Statsmodels: statistical modeling and econometrics in Python
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Statsmodels: statistical modeling and econometrics in Python
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Collection of notebooks about quantitative finance, with interactive python code.
This repository hosts the code behind the online book, Coding for Economists.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Lightning ⚡️ fast forecasting with statistical and econometric models.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
This repository hosts the code behind the online book, Coding for Economists.
Visualise your CSV files in seconds without sending your data anywhere
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
Statsmodels: statistical modeling and econometrics in Python
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Collection of notebooks about quantitative finance, with interactive python code.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Collection of notebooks about quantitative finance, with interactive python code.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
This repository hosts the code behind the online book, Coding for Economists.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Visualise your CSV files in seconds without sending your data anywhere
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
A Python package for causal inference using Synthetic Controls
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Notebooks for Applied Causal Inference Powered by ML and AI
Visualise your CSV files in seconds without sending your data anywhere
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
A Python package for causal inference using Synthetic Controls
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
This repository hosts the code behind the online book, Coding for Economists.
ipeadatapy is a data and metadata extraction package made in Python using Ipeadata database official API. In it's essence it is an API wrapper.
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Lightning ⚡️ fast forecasting with statistical and econometric models.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
Collection of notebooks about quantitative finance, with interactive python code.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
Visualise your CSV files in seconds without sending your data anywhere
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry throug...
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
This repository hosts the code behind the online book, Coding for Economists.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX ...
Visualise your CSV files in seconds without sending your data anywhere
Notebooks for Applied Causal Inference Powered by ML and AI
Repositorio de la clase de Econometría I · Facultad de Economía · UNAM · Semestre 2025-1
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly withou...
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.
MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:
This repository hosts my reading notes for academic papers.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
This repository hosts the code behind the online book, Coding for Economists.
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.