Trending repositories for topic econometrics
Visualise your CSV files in seconds without sending your data anywhere
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
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. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Collection of notebooks about quantitative finance, with interactive python code.
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...
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
Visualise your CSV files in seconds without sending your data anywhere
This repository hosts the code behind the online book, Coding for Economists.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Lightning ⚡️ fast forecasting with statistical and econometric models.
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
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Statsmodels: statistical modeling and econometrics in Python
Collection of notebooks about quantitative finance, with interactive python code.
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
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...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Collection of notebooks about quantitative finance, with interactive python code.
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.
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.
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
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Visualise your CSV files in seconds without sending your data anywhere
This repository hosts the code behind the online book, Coding for Economists.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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...
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
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Statsmodels: statistical modeling and econometrics in Python
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.
Visualise your CSV files in seconds without sending your data anywhere
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...
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Collection of notebooks about quantitative finance, with interactive python code.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
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 hosts the code behind the online book, Coding for Economists.
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.
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...
Notebooks for Applied Causal Inference Powered by ML and AI
📖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.
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.
Visualise your CSV files in seconds without sending your data anywhere
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
Machine learning based causal inference/uplift in Python
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.
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 quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
This repository summarizes the traditional and recently proposed estimators in the difference-in-differences research design.
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
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Lightning ⚡️ fast forecasting with statistical and econometric models.
This repository hosts the code behind the online book, Coding for Economists.
Vanilla option pricing and visualisation using Black-Scholes model in pure Python
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
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
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...
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...
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.
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 ...
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
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.
MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:
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.
This repository hosts my reading notes for academic papers.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
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.
This repository hosts the code behind the online book, Coding for Economists.
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis te...