João Pedro Albino's Projects
Jason Bryer's Github projects
This project contains my code for the programming exercises in the Stanford University Machine Learning class on Coursera.
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
Script do R para criação de gráfico com mapa do Brasil
MITx 15.071x The Analytics Edge course assignments
Machine learning programming exercises
Image Classification using MXNetR
Practical Machine Learning Course Project
Repository for Programming Assignment 2 for R Programming on Coursera
O projeto de pesquisa "O Uso das Mídias Sociais no Ensino Superior" - UMSES, tem como objetivo identificar fatores de facilitam ou dificultam o uso, pela comunidade acadêmica das mídias sociais no ensino superior no Brasil.
Code repository for R Mining Spatial, Text, Web, and Social Media Data, published by Packt
Microdados não identificados do CAGED Estatístico, da RAIS (Estabelecimento e Trabalhador) e do Novo Caged em formato texto (.txt) e com delimitador ";" para utilização em aplicativos estatísticos.
Integrate R with http://www.Rdocumentation.org
Source code files for the book Reproducible Research with R/RStudio
Peer Assessment 1 for Reproducible Research
a fast interpreter and JIT for R
Implementation of "Teaching Machines to Read and Comprehend" in Theano/Lasagne
A data science IDE for Python
Geting and Cleaning Data Project
The purpose of this R code is to carry out sentiment analysis of tweets pertaining to India's 2016 demonetization policy. In 2016, the Government of India launched a demonetization policy which took 85% of Indian rupees out of circulation. The move was designed as a means of cracking down on "black money" and took everyone by surprise (to put it mildly). In the days that followed Indians took to Twitter en-masse to express their feelings. Many experts say demonetization was very unpoular while others say it was well received What is Twitter's veridct? Well the Twitter jury is out and the Twitter sentiment has been...........
Easy interactive web applications with R
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Bindings for Tabula PDF Table Extractor Library
R simulation package
Repository Test
Prediction application built with the R Shiny library for the Johns Hopkins University Coursera Data Science Specializtion capstone project.