pktvisor is a dynamic network observability agent that analyzes and monitors at the edge

pktvisor is a dynamic network observability agent that analyzes and monitors at the edge

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 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

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

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

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

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

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

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

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

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

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

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

This node-based editor allows using the open source library simple-data-analysis.js without code.

Improving energy efficiency is one of the key challenges facing Wireless sensor networks (WSNs), which are becoming more ubiquitous by the day. Since the nodes (sensors) often have to rely upon limited energy stores to execute their job of data collection as relaying of data from other nodes, optimization of data transfer path becomes important to enhance th

The Rotten Tomatoes movie review corpus is a collection of movie reviews collected by Pang and Lee in [2]. This corpus has been analysed in [3] where each sentence is parsed into its tree structure and each node is assigned a fine-grained sentiment label ranging from 1 − 5 where the numbers represent very negative, negative, neutral, positive and very positi

YCT project is a automatic stock data analysis tool, which can plot trend lines and key nodes that can be guided as candidates of buy or sell timings of those products.(YCT基于股市“缠论”理论进行自动化和智能化分析)