Simulação de resultados da liga "Dudes" de Fantasy Football

Week 4 - Fantasy Football points projection

Este artigo explora técnicas de Análise de Redes Sociais para analisar o comportamento e organização em redes colaboração de autores e desenvolvedores de pacotes de software para R1 publicados no repositório CRAN

Plotly 3D + Runtastics GPX Data + RMarkdown

Visualizing Graphs

This is my Data Visualization Programming Assignment 01 product, from Coursera Data Mining Specialization This assignment will give you a chance to explore the topics covered in Week 2 of the course by visualizing some data as a chart. The data set we provided deals with world temperatures and comes from NASA. You are welcome to use the additional resources, especially if you do not want to program to complete this project.

This is the presentation for the Capstone Project of the Coursera Data Science Specialization by Johns Hopkins Bloomberg School of Public Health. In this study we will study the ability of the texts, in the Yelp's Reviews dataset to be used to predict things business characteristics and attributes. For this analysis we use the RTextTools package that provides text-mining infrastructure for machine learning analysis, also used the Caret package to sample and split the dataset and analyses the accuracy.

This report describes the data analysis and the model fitting performed as part of Pratical Machine Learning by John Hopkins Blooberg School of Public Health at Coursera.

This is the course project of Regression Models course, part of Data Science Specialization, by John Hopkins Bloomberg school of Pulibc Health at Coursera. In this work we will be looking at a data set of a collection of cars, interested in exploring the relationship between a set of variables and the consumption in miles per gallon (MPG).

This is the second part of Statistical Inference Course Project, part of John Hopkins' Data Science speacialization at coursera. We'll going to apply some statistic analyzis in the the ToothGrowth data in the R datasets package.

Statistical Inference Class Project, simulation of CTL using exponential distribution.

In this analysis we used the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database, containing data and characteristics of major storms and weather events in the United States aiming to find, across the United States, which types of events are most harmful with respect to population health and have the greatest economic consequences?