Brakecode is software that runs on your hosts. It manages telemetry data including reports and makes them available for analysis. The Brakecode NPM package is open-source.

The next level of this prototype will stand upon three primary pillars: 1. Simulation environment: How to create an easy to assemble & reproducible simulation environment using minimal hardware to create engagement models for our audience? ShopNext v2.0 will be about real people generating real events using real objects! 2. Reusability: How to ensure the nod

A fast exact nearest neighbor search algorithm over large scale data is proposed based on semi-convex hull tree, where each node represents a semi-convex hull, which is made of a set of hyper planes. When performing the task of nearest neighbor queries, unnecessary distance computations can be greatly reduced by quadratic programming. GPUs are also used to a

This group project of 4 members is delivered as part of my Masters in Big Data Science (MSc BDS) Program Module named “Digital Media and Social Network” in Queen Mary University of London (QMUL), London, United Kingdom. This project covers the network analysis covering 4 different problem statements and use cases using python NetworkX package, Gephi network

The codes which is uploaded here is generally based on extracting the customer reviews of a travel website called tripadvisor, most of the websites doesn't provide their customer data but websites/platforms like tripadvisor, amazon, twitter,imdb, etc are much helpful for data science students, similarly all these data's can be processed and used for model va

hadoop-projects IBM stock project Get IBM stock dataset Clean the dataset Load dataset on the HDFS Build MapReduce program Process/ Analyse result Hadoop set up Run single node Hadoop cluster /usr/local/Celler/hadoop Check : https://www.slideshare.net/SunilkumarMohanty3/install-apache-hadoop-on-mac-os-sierra-76275019 http://zhongyaonan.com/hadoop-tutorial

Standard library plotting.

an extraction system in R programming and Node.js that will work upon the huge volume of Stack Overflow dataset and provide visualization in the form of charts and graphs. Here, the data is first preprocessed and then mining is performed on it using machine learning algorithms including Aprori, svm, Logistic regression.

Overview There are quite a few apps in the market that provide a public forum for bringing up complaints so they can get resolved. With these apps, customers could easily submit their complaints to companies via them and deliver them to the company's' Twitter account, e-mail, or Facebook accounts. For the receiving companies, there are limited apps in the m

This repository contains the relevant node.js code and R analysis code for gathering Uber data, and for analyzing the geographic trends with a spatial Durbin model

I'm working on a system that uses kinect depth data and audio analysis and midi input to create immersive visuals -- ideal for live performances. It uses a combination of sstephenson/kinect, PIXI.js and node.js for kinect and midi streaming.

time series data acquisition, storage, exploration, analysis, ML models, predictions, visualizations and interpretations using node.js, web scraping, sql and nosql, charting, tensorflow.js and D3.js

Configured Hadoop in multi-cluster node in AWS cloud; analyzed the 22 years of Airline data i.e 130 million flight records (implemented in MapReduce) and found interesting facts on category wise performance, the probability of airline being on schedule, most common reason for cancellation

Performs sentiment analysis on twitter data and outputs edge and node lists for graphing in Gephi

VEX-HUB is a cloud node for connecting desktop clients using web sockets and WebRTC, and interoperating with a local Ethereum node to perform blockchain analysis and provide API data endpoints to public clients.

A framework for collaborative analysis of distributed environmental data (server-side package)

A framework for collaborative analysis of distributed environmental data (server-side package)

Wikipedia Network Analysis Tool - this project creates a graph given a Wikipedia link and the article’s connections to other articles. The graph node can be clicked which then displays its connections.

This project involves implementing a matrix multiply and a binary tree search using OpenMP and MPI. For both the matrix multiply and the binary tree search your code should be selfinitializing, that is, you don’t need to read any files but can simply internally initialize arrays to be multiplied and the tree to be searched. Step 1: Perform a matrix multiply

⚠️ [Moved to gitlab.com] 🔬 Data-analysis technique used to evaluate relationships between nodes.