Trending repositories for topic econometrics
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 ...
Statsmodels: statistical modeling and econometrics in Python
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.
Lightning ⚡️ fast forecasting with statistical and econometric models.
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...
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 ...
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Statsmodels: statistical modeling and econometrics in Python
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.
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...
Statsmodels: statistical modeling and econometrics in Python
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 ...
Lightning ⚡️ fast forecasting with statistical and econometric models.
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...
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Notebooks for Applied Causal Inference Powered by ML and AI
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.
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...
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 ...
Notebooks for Applied Causal Inference Powered by ML and AI
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.
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.
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
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.
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.
Statsmodels: statistical modeling and econometrics in Python
Collection of notebooks about quantitative finance, with interactive python code.
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...
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
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.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
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 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
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
Notebooks for Applied Causal Inference Powered by ML and AI
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Notebooks for Applied Causal Inference Powered by ML and AI
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
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 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...
Visualise your CSV files in seconds without sending your data anywhere
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...
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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
This repository hosts my reading notes for academic papers.
Statsmodels: statistical modeling and econometrics in Python
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 ...
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...
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
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.