COP Prediction Shiny Application for COP Forex Prediction Analysis Developing Data Products Peer-graded Assignment Course Project: Shiny Application and Reproducible Pitch
The following notes are from the COURSERA Practical Machine Learning course, and are intended to help others understand the concepts and code behind the math.The basic idea behind boosting is to take lots of possibly weak predictors, then we weight them and add them up. Thus we get a stronger one.
The following notes are from the COURSERA Practical Machine Learning course, and are intended to help others understand the concepts and code behind the math. Random Forests are an extension of Bootstrap Aggregating. Read for more!
The following notes are from the COURSERA Practical Machine Learning course, and are intended to help others understand the concepts and code behind the math. Bootstrap aggregation, also known as bagging, is a Machine Learning method based on a few basic principles. Read more here!
Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.
The following analysis uses simple Data Science techniques to explore, analyze, and measure the relationship between the drop of international oil prices and the steep devaluation of the Colombian Peso against the US dollar between the months of September 2014 and October 2015. It has been a known fact by economist that such a relationship always existed since oil exports represent a large percentage of Colombian GDP. But the exact analysis and correlation of variables is little known.
This is my very first RPub, a simple exercise from UDACITY's Introduction To Explorative Analysis lesson 3. It was also my first chance to use the power or R and R Markdown language.