Uma revolução na geração de energia elétrica de baixo custo. Turbulent Hydro.

February 14, 2018 no comments Posted in Análise de Dados

After 2 years of engineering and build iterations the team of Turbulent has finished its first 15kW low-head hydropower turbine. This is a scalable technology that can be installed at any kind of water fall, rapid, or water control structure in rivers and canals. By basing this turbine on the principle of a whirlpool, it is both fish friendly and can let debris pass through.

Após 2 anos de engenharia e construção de iterações, a equipe da Turbulent terminou sua primeira turbina hidrelétrica de cabeça baixa de 15kW. Esta é uma tecnologia escalável que pode ser instalada em qualquer tipo de queda de água, rápida ou estrutura de controle de água em rios e canais. Ao basear esta turbina no princípio de uma banheira de hidromassagem, é amigável com os peixes e pode deixar passar os detritos.

Build Your Own Blockchain: A Python Tutorial – @Ecomunsing

January 19, 2018 no comments Posted in Análise de Dados

Build Your Own Blockchain – The Basics

This tutorial will walk you through the basics of how to build a blockchain from scratch. Focusing on the details of a concrete example will provide a deeper understanding of the strengths and limitations of blockchains. For a higher-level overview, I’d recommend this excellent article from BitsOnBlocks.

Download the full Jupyter/iPython notebook from Github here Build Your Own Blockchain – The Basics¶This tutorial will walk you through the basics of how to build a blockchain from scratc…

 

Source: Build Your Own Blockchain: A Python Tutorial – @Ecomunsing

Analysing Cryptocurrency Market in R | R-bloggers

January 14, 2018 no comments Posted in Análise de Dados, R

Cryptocurrency market has been growing rapidly that being an Analyst, It intrigued me what does it comprise of. In this post, I’ll explain how can we analyze the Cryptocurrency Market in R with the help of the package coinmarketcapr. Coinmarketcapr package is an R wrapper around coinmarketcap API.

 

Analysing Cryptocurrency Market in R

Source: Analysing Cryptocurrency Market in R | R-bloggers

October 26, 2017

By 

mailR: A utility to send emails from the R programming environment

January 14, 2018 no comments Posted in Análise de Dados, R

mailR allows users to send emails from R.It is developed as a wrapper around Apache Commons Email and offers several features to send emails from R such as:using authentication-based SMTP serverssending emails to multiple recipients (including the use of Cc, Bcc, and ReplyTo recipients)attaching multiple files from the file system or from URLssending HTML formatted emails with inline images.

Image by By Fabián Alexis (https://github.com/fabianalexisinostroza/Antu) [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons

Source: GitHub – rpremraj/mailR: A utility to send emails from the R programming environment

A DATA-DRIVEN APPROACH TO CRYPTOCURRENCY SPECULATION

January 8, 2018 no comments Posted in Análise de Dados

A DATA-DRIVEN APPROACH TO CRYPTOCURRENCY SPECULATION

How do Bitcoin markets behave? What are the causes of the sudden spikes and dips in cryptocurrency values?

Are the markets for different altcoins inseparably linked or largely independent?

How can we predict what will happen next?

Articles on cryptocurrencies, such as Bitcoin and Ethereum, are rife with speculation these days, with hundreds of self-proclaimed experts advocating for the trends that they expect to emerge.

What is lacking from many of these analyses is a strong foundation of data and statistics to backup the claims.

The goal of this article is to provide an easy introduction to cryptocurrency analysis using Python. We will walk through a simple Python script to retrieve, analyze, and visualize data on different cryptocurrencies. In the process, we will uncover an interesting trend in how these volatile markets behave, and how they are evolving.

by  Patrick Triest

Source: Analyzing Cryptocurrency Markets Using Python

What is the difference between a ROC curve and a precision-recall curve?

November 2, 2017 no comments Posted in Análise de Dados

Remember, a ROC curve represents a relation between sensitivity (RECALL) and specificity(NOT PRECISION). Sensitivity is the other name for recall but specificity is not PRECISION. 

Figure By kakau (Selbstgepinselt mit PowerPoint) [GFDL (http://www.gnu.org/copyleft/fdl.html) or CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0/)], via Wikimedia Commons

Read more at (1) What is the difference between a ROC curve and a precision-recall curve? When should I use each? – Quora