jdweaver
Computational social scientist who doesn't use GitHub as much as he should.
MicrosoftSeattle, WA
Pinned Repositories
code-snippets
Snippets of code for R and Python.
code_alongs
code alongs for SPU data science class
ds_sandbox
repository for general assembly data science class
EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
GA-SEA-DAT2
Repo of student materials for the General Assembly Data Science Course
hater_news
Haterz Gonna Hate. But now you know who the haterz are.
microsoft_mpp_ds_program_instructor_solutions
Currently teaching a flipped-class version of the Microsoft Professional Program for Data Science. This repo contains my solutions for the Principles of Machine Learning lab and Capstone for the course ending on March 31. Note that the MPP program content is updated at least twice a year so the data sets and problems may be different in future iterations of the class.
peoplelytics
tutorials_misc
tutorials and miscellaneous
jdweaver's Repositories
jdweaver/GA-SEA-DAT2
Repo of student materials for the General Assembly Data Science Course
jdweaver/hater_news
Haterz Gonna Hate. But now you know who the haterz are.
jdweaver/code-snippets
Snippets of code for R and Python.
jdweaver/code_alongs
code alongs for SPU data science class
jdweaver/ds_sandbox
repository for general assembly data science class
jdweaver/EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jdweaver/microsoft_mpp_ds_program_instructor_solutions
Currently teaching a flipped-class version of the Microsoft Professional Program for Data Science. This repo contains my solutions for the Principles of Machine Learning lab and Capstone for the course ending on March 31. Note that the MPP program content is updated at least twice a year so the data sets and problems may be different in future iterations of the class.
jdweaver/peoplelytics
jdweaver/tutorials_misc
tutorials and miscellaneous