Relevant webpages for Python-R-Machine Learning

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• http://web.pdx.edu/~crkl/

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Dario Sansone - https://sites.google.com/view/dariosansone/resources/machine-learning Max Kasy - https://maxkasy.github.io/home/teaching/

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Grant Dertmont - https://github.com/uo-ec607/lectures

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Andreus Practical Econometrics - http://web.vu.lt/mif/a.buteikis/wp-content/uploads/PE_Book/index.html

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Lasso Regression with Python - https://www.kirenz.com/post/2019-08-12-python-lasso-regression-auto/

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Causal Graphs python - https://microsoft.github.io/dowhy/readme.html

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Causality - https://mattblackwell.org/teaching/gov50/

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Chicago Bootcamp - https://github.com/OpenSourceEcon/BootCamp2017#9-python-tutorials

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medicine and causal inference - https://github.com/jvpoulos/causal-ml

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Data science for economist Tilburg. https://madina-k.github.io/dse_mk2021/tutorial_grf.html

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Low level programing

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Some courses

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tutorial Susan Athey https://gsbdbi.github.io/ml_tutorial/index.html

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Miguel Hernan - Causality in Public Health https://github.com/jrfiedler/causal_inference_python_code book - https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2021/03/ciwhatif_hernanrobins_30mar21.pdf

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manage workflow - https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510

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Relevant to understand LATE - https://drive.google.com/file/d/1ESI0wlHHmNRZ2JFnWsfh1bdO-YexTKkC/view?fbclid=IwAR3Hl-DqrTLdSh4aDQj0KOVitZPC0u3lNijFKF9j_aUrGUcOfNEQRCWvgSU

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coding for economist - https://aeturrell.github.io/coding-for-economists/vis-intro.html

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stata and python equivalents - http://www.danielmsullivan.com/pages/tutorial_stata_to_python.html

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regex - https://aeturrell.github.io/coding-for-economists/text-regex.html

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data analytics https://github.com/msu-econ-data-analytics/course-materials

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Causal forest implementation https://towardsdatascience.com/practical-python-causality-econometrics-for-data-science-ffc074e11a1d https://microsoft.github.io/dowhy/ https://econml.azurewebsites.net/ https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3816558 https://towardsdatascience.com/causal-machine-learning-for-econometrics-causal-forests-5ab3aec825a7 https://github.com/QuantLet/Meta_learner-for-Causal-ML/tree/main/Microcredit-Example

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Python package for causal trees 2021 - https://pypi.org/project/causal-tree-learn/

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Perspective in computational analysis. https://github.com/UC-MACSS/persp-analysis MACSS course material https://github.com/UC-MACSS

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why prediction is important in policy problems? - https://www.cs.cornell.edu/home/kleinber/aer15-prediction.pdf

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HTE using python - https://datascience.quantecon.org/applications/heterogeneity.html#id19

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Causal Inference for The Brave and True - https://matheusfacure.github.io/python-causality-handbook/landing-page.html

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Causal Inference, What If - https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1268/2021/03/ciwhatif_hernanrobins_30mar21.pdf

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Convolutional Neural Networks https://cs231n.github.io/ numpy Tutorial https://cs231n.github.io/python-numpy-tutorial/

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Scientific Visualization with python - https://github.com/rougier/scientific-visualization-book

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programming skills tech - https://scarlet-chen.medium.com/my-journey-from-econ-phd-to-tech-part-1-interview-prep-networking-d256918410a2

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Conditioning in Post-treatment variables - http://ftp.cs.ucla.edu/pub/stat_ser/r447-reprint-appendix.pdf

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Histograms and density plots y Python - https://towardsdatascience.com/histograms-and-density-plots-in-python-f6bda88f5ac0

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Pandas plot is an axis object https://stackoverflow.com/questions/21487329/add-x-and-y-labels-to-a-pandas-plot Time Series bar plot https://stackoverflow.com/questions/63026510/how-do-you-plot-month-and-year-data-to-bar-chart-in-matplotlib Color palette for seasborn https://medium.com/@morganjonesartist/color-guide-to-seaborn-palettes-da849406d44f

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Python code(Baseline) to replicate Causal Froest - http://aeturrell.com//2018/03/28/estimation-heterogeneous-treatment-random-forests/

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Library of Statistical Technique - https://lost-stats.github.io/ Causal forest in R, Python and Stata - https://lost-stats.github.io/Machine_Learning/causal_forest.html

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Double Machine Learning Explanation - https://towardsdatascience.com/double-machine-learning-for-causal-inference-78e0c6111f9d Double Machine Learning Code for the bias - http://aeturrell.com//2018/02/10/econometrics-in-python-partI-ML/

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Vira Semenova Double Machine Learning - https://www.youtube.com/watch?v=9-MTbsGvX1U&t=2061s

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Text Analysis and causal inference - https://github.com/causaltext/causal-text-papers#economics

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Causal Analysis Book in R - https://drive.switch.ch/index.php/s/tNhKQmkGB48bjfz

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reading group oxford machine learning economis - https://maxkasy.github.io/home/ML_Econ_Oxford/

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colors graphs https://medium.com/@morganjonesartist/color-guide-to-seaborn-palettes-da849406d44f

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List of Professors using ML in Economics https://www.jblumenstock.com/ https://stat.mit.edu/people/victor-chernozhukov/ https://www.gsb.stanford.edu/faculty-research/faculty/susan-athey https://www.chicagobooth.edu/faculty/directory/m/sendhil-mullainathan https://www.gsb.stanford.edu/faculty-research/faculty/jann-spiess

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R - Stata translator : https://hhsievertsen.net/Stata_and_R/#/slide0

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Causal Inference Blog by statistician - https://www.causalconversations.com/post/correlation-causation/

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An Introduction to Statistical Learning with Applications in PYTHON - https://github.com/qx0731/Sharing_ISL_python

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From Academia to tech - https://scarlet-chen.medium.com/tech-industry-jobs-for-econ-phds-54a276dda80b https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.33.1.209

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Data Science for Social Change - https://docs.google.com/spreadsheets/d/1oppU-mYv3pvy2oGTkLZel03ydMjSgQ09Aa1L2fEC0v8/edit#gid=0

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Causal Inference and Machine Learning Github Repo - https://github.com/jvpoulos/causal-ml

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Elements of Causal Inference - http://web.math.ku.dk/~peters/elements.html

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story behind Netflix - https://zhenzhongxu.com/the-four-innovation-phases-of-netflixs-trillions-scale-real-time-data-infrastructure-2370938d7f01

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course Causal Machine Learning - https://altdeep.ai/p/causal-ml-minicourse/