jdweaver

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/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