A javascript library providing a new data structure for datascientists and developpers
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Updated
Oct 25, 2020 - JavaScript
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A javascript library providing a new data structure for datascientists and developpers
Ethereum transactions stats for your smart contracts
A minimum-dependency ECMAScript client library and CLI tool for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content
Collection of Charts and Data Visualizations
Intro to R for Datascience workshop content
A web application which acts as an IoT device when loaded in a smart phone browser. The data from the sensors are then used for Anomaly detection.
Redis Backend for Jupyter's Configurable Proxy
Node.js client for Apache Drill
An AI framework to understand and analyze complex networks and more in general complex data. It is a collection of clustering techniques inspired by social science and communication theories.
Housing rent map in Comunidad de Madrid / Mapa del alquiler en la Comunidad de Madrid
Web-based tool for labelling datasets
Pull from FixMyStreet a dataset of images with labels to train a CV model.
Automatic DMP Generator
IoT Embedded devices connection and running project for Smart systems, Measurement devices, and so on..
This COVID-19 graph plots the number of new confirmed cases in the past week, versus the total number of confirmed cases. When plotted in this way, exponential growth is displayed as a straight line. Notice that most countries follow a similar straight line path, indicating that the growth rate is similar across countries. Web:
AICTE Training and Learning Short Term Course on Data Science and Machine Learning
Contains various data science tasks done in nodejs
UI for datacorrelations
Conversational chatbot for Datascience
K-Means clustering with JavaScript
chatbot by ganesh kavhar
2017 competition Google Maps visualization for destinations
The 2017 version of my homepage (still alive and kicking!), using Jekyll (powered by Ruby)
ERC-721 implementation for listing non-fungible digital art tokens on compliant marketplaces
It's a data visualisation project developed in D3.js which demonstrates how data can be visualised to find trends and support in decision making. This project uses IMDB data for 5000 movies (https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset) and is a small effort to help Movie creators (like producers or directors) to get insights before they start making a movie and also for the Movie viewers to pick up a movie to watch based on their genre taste or favourite cast.
It's a website to get knowledge of Data Science where one can simulate the various dataset to train and test machine learning models with wonderful visualization on the spot.
Personal portfolio website
Website for ACNN
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