pktvisor is a dynamic network observability agent that smartly analyzes network traffic and generates opentelemetry metrics

pktvisor is a dynamic network observability agent that smartly analyzes network traffic and generates opentelemetry metrics

Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the o

Botnet monitoring is a crucial part in threat analysis and often neglected due to the lack of proper open source tools. Our tool will provide an open source framework for automated botnet monitoring. The modular design will allow full customization of the used protocols, the monitoring clients behavior, how we log the collected information, processing of the

Introduction Parkinson’s Disease is the second most prevalent neurodegenerative disorder after Alzheimer’s, affecting more than 10 million people worldwide. Parkinson’s is characterized primarily by the deterioration of motor and cognitive ability. There is no single test which can be administered for diagnosis. Instead, doctors must perform a careful clini

A list of practical projects that anyone can solve in any programming language (See solutions). These projects are divided into multiple categories, and each category has its own folder. To get started, simply fork this repo. CONTRIBUTING See ways of contributing to this repo. You can contribute solutions (will be published in this repo) to existing proble

A company tracking app that requests real time stock data via websocket connections and draws interactive graphs with d3.js and HTML5 canvas. Uses Twitter streaming data and algorithmic analysis to explore relationship between company performance and Twitter sentiment. HTML/CSS, Javascript, React, Node, Express, MongoDB, d3.js

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signa

Various tools for using, processing or handling NERC-ARF data provided by the Data Analysis Node at Plymouth Marine Laboratory.

An exploratory, tutorial and analytical view of the Unified Medical Language System (UMLS) & the software/technologies provided via being a free UMLS license holder. This repo will subset 2021AB UMLS native release, introduce/build upon UMLS provided tools to load a configured subset into first a relational database --> MySQL, SQLite, PostgreSQL and MariaDB

Web-based data management, network analysis & visualisation environment.

This is a data processing pipeline that implements an End-to-End Real-Time Geospatial Analytics and Visualization multi-component full-stack solution, using Apache Spark Structured Streaming, Apache Kafka, MongoDB Change Streams, Node.js, React, Uber's Deck.gl and React-Vis, and using the Massachusetts Bay Transportation Authority's (MBTA) APIs as a data sou

Ingest sample Market Orders Data feed from PubNub to Postgres with TimescaleDB extension installed and enabled for time series analysis.

Wireless Sensor Network is one of the growing technologies for sensing and also performing for different tasks. These types of networks are beneficial in many fields, such as emergencies, health monitoring, environmental control, military, industries and these networks are prone to malicious users and physical attacks due to radio range of network, un-truste

Waggle cloud software for aggregation, storage and analysis of sensor data from Waggle nodes.

Get the China Stock market's DDE data, store it in the Mysql, use nodes. Prepare for the Stock's analysis。

Worked with a number of real-world datasets available at http://snap.stanford.edu/ to identify the importance of certain nodes in terms of their degree, betweenness, closeness centralities and clustering co-efficient. • Studied the different random graph generator models to identify the best synthetic random graph generator that reflects real-world datasets

DSV visualizes Linked Lists, Stacks, Queues, Binary Search Trees, and Heaps using C#'s Windows Forms and Microsoft Automatic Graph Layout (MSAGL).

This Node.js app built with MongoDB allows users to compare both scores from Yelp and Google+ for a restaurant at the same time. It uses the Yelp, Google Maps and Alchemy Labs APIs, and dynamically scrapes text content of reviews to be scored with sentiment analysis to generate a third score. While the data pipeline for the third score is built, a dynamic th

BDP 05: CLUSTERING OF LARGE UNLABELED DATASETS OVERVIEW Real world data is frequently unlabeled and can seem completely random. In these sort of situations, unsupervised learning techniques are a great way to find underlying patterns. This project looks at one such algorithm, KMeans clustering, which searches for boundaries separating groups of points based