vladd-i

bluebikes

Improving the functionality and reliability of Bluebikes, Boston's bike-share service, by using ML to forecast station availability and develop more optimal routes for riders

class-2020-09-10

class-2020-09-17

class-2020-09-22

lerner-lab-dataset

Scraping, cleaning, merging to create a comprehensive dataset for a behavioral economics research project at the Lerner Lab, sponsored by the grant from National Science Foundation

MA-insurance-prediction

Using Differentially Private ML to Identify MA Residents Unprotected by Health Insurance From U.S. Census Data

photo_composition

Identifying patterns in photographic composition using geometric machine learning

trial_site_optimizer

Optimizing the selection of sites for conducting clinical trials with ML

ukraine-frontline

Analysis of access to basic services among people who live in the midst of the military conflict in eastern Ukraine. Using R & R Shiny to identify areas with the most needs and inform better humanitarian response. Final Project for Harvard's Gov 50: Data, Fall 2020.

vladd-i/bluebikes

Improving the functionality and reliability of Bluebikes, Boston's bike-share service, by using ML to forecast station availability and develop more optimal routes for riders

vladd-i/hodp-harvard-endowment

Analyzing Harvard's endowment performance compared to peer institutions. Completed as part of the Harvard Open Data Project (HODP) Bootcamp, Fall 2020.

vladd-i/lerner-lab-dataset

Scraping, cleaning, merging to create a comprehensive dataset for a behavioral economics research project at the Lerner Lab, sponsored by the grant from National Science Foundation

vladd-i/MA-insurance-prediction

Using Differentially Private ML to Identify MA Residents Unprotected by Health Insurance From U.S. Census Data

vladd-i/photo_composition

Identifying patterns in photographic composition using geometric machine learning

vladd-i/trial_site_optimizer

Optimizing the selection of sites for conducting clinical trials with ML

vladd-i/ukraine-frontline

Analysis of access to basic services among people who live in the midst of the military conflict in eastern Ukraine. Using R & R Shiny to identify areas with the most needs and inform better humanitarian response. Final Project for Harvard's Gov 50: Data, Fall 2020.

vladd-i/class-2020-09-29

vladd-i/class-2020-10-01

vladd-i/class-2020-10-06

vladd-i/class-2020-10-08

vladd-i/class-2020-10-13

vladd-i/class-2020-10-15

vladd-i/class-2020-10-20

vladd-i/class-2020-10-22

vladd-i/class-2020-10-27

vladd-i/class-2020-10-29

vladd-i/class-2020-11-03

vladd-i/class-2020-11-05

vladd-i/class-2020-11-12

vladd-i/class-2020-11-17

vladd-i/class-2020-11-19

vladd-i/class-2020-11-24

vladd-i/class-2020-12-01

vladd-i/gov-50-solutions

vladd-i/hodp-course-enrollment

Data analysis for a Harvard Open Data Project article analyzing course enrollment changes at Harvard College in the year of COVID.

vladd-i/LEGO_minifigures

Generating non-existing LEGO minifigures using GANs and VAEs

vladd-i/lerner-lab-hypotheses-testing

Conducting statistical analyses to explore links between various emotions and economic/financial preferences using real-world datasets.

vladd-i/veo-assessment

Veo Technical Assessment

vladd-i/vlad-composer

library of algorithms to speed up neural network training