Akesari12
Associate Professor at Fordham Law. I'm interested in law & technology and data science for social good
New York, NY
Pinned Repositories
abnbhtml
Akesari12.github.io
Animal-Crossing-Villagers
dungeondraft_maps
Economist_2020_Election_Forecast
Forked from Elliott Morris' code that calculates Biden win probabilities in each state and adds a function to create a choropleth
Intro_Causal_Inference
LS123_Data_Prediction_Law_Spring-2019
LS190
stat243final
Statistics 243 Final Project
UDSWAirBnB
Akesari12's Repositories
Akesari12/LS123_Data_Prediction_Law_Spring-2019
Akesari12/Intro_Causal_Inference
Akesari12/LS190
Akesari12/dungeondraft_maps
Akesari12/Animal-Crossing-Villagers
Akesari12/Economist_2020_Election_Forecast
Forked from Elliott Morris' code that calculates Biden win probabilities in each state and adds a function to create a choropleth
Akesari12/Akesari12.github.io
Akesari12/BashGit
D-Lab's 3 hour introduction to basic Bash commands and Git/GitHub.
Akesari12/Berkeley-2020-Letterhead-Casual-Version
This an adaptation of the Berkeley 2020 casual, four-color letterhead
Akesari12/Berkeley-2020-Letterhead-Color-Formal
This is an adaptation of Berkeley's 2020 "brand" guidelines letterhead, the formal, four color version
Akesari12/CELS-ML-Text-Analysis-Workshop
Akesari12/civil-procedure-codes
Analysis repository for "The Spine of American Law: Digital Text Analysis and U.S. Legal Practice"
Akesari12/Computational-Social-Science-Training-Program
Akesari12/covid19antiasian
Investigating how COVID-19 shaped Anti-Asian Climate
Akesari12/Data-Breach-Notification-Laws
Text of State Data Breach Notification Laws for Do Data Breach Notification Laws Work?
Akesari12/dlab_bash_git_sample
Sample repo for the bashgit workshop
Akesari12/Do-Data-Breach-Notification-Laws-Work-NYU-JLPP-Replication-Code
Akesari12/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.
Akesari12/ExperimentData
Akesari12/face-detection-with-OpenCV-and-DNN
Detecting faces using OpenCV's Deep Neural Network
Akesari12/feeling-responsive
»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.
Akesari12/feeling-responsive-copy
Akesari12/jakarta_smart_city_traffic_safety_public
Identifying traffic-safety issues in CCTV footage
Akesari12/jsp_math_camp
Akesari12/my-first-repo
Akesari12/predicting_cybersecurity_incidents
Akesari12/privacy-policy-historical
Historical website privacy policies spanning over two decades.
Akesari12/sample_repo
Akesari12/sample_repository
Akesari12/SinglePaged
SinglePaged - Simple Jekyll template