NarineManukyan

Self-Organizing-Maps

This code implements methods for automatic cluster reinforcement and hierarchical cluster visualization of sparsely-matched SOMs , described in: N. Manukyan, M.J. Eppstein, D.M. Rizzo,"Data-driven cluster reinforcement and visualization in sparsely-matched self-organizing maps," Neural Networks and learning Systems, IEEE Transactions on, vol23, no 5, pp 846-852

CarsRuby

Ruby code for scraping the web (cars.com) to obtain car information like mpg, price, etc.

COVID19

Forecasting number of cases in one country using data from the number of cases from other countries as external predictors

blog.github.io

class_reports

Cloud-Computing-Curricula

Collection of Modules

datavt_clustering

FlashmobResearch

This code is generated in the efforts of link prediction for FlashmobResearch1.0 project

get_advisee_emails

hashcode_practice_optimizing_pizza_orders

Hash code Practice Problem for 2020 competition

narinemanukyan.github.io

Publishing sharable material

NIHResearch

pyclustering

pyclustring is a Python, C++ data mining library.

SmartCrossoverLTGA

syllabus

syllabus for the Advanced JavaScript class at NYU

teamSearchGit

Starting version of teamSearch

Wall-D

The robot

website

WiDS_kaggle_competition_solution_with_TensorFlow2

A sample solution to WiDS Kaggle competition using Tensorflow 2.0 with Keras as a proof of concept