Showcasing natural language processing as part of Coursera Data Science Capstone project.

This report demonstrates competency in working with the project’s training data and explains using exploratory analysis major features identified.

Plots Stock trends based on user selections

This is the project work for the course 'Practical Machine Learning' at Coursera

To investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution can be simulated in R with rexp(n, lambda) where lambda is the rate parameter. The mean of exponential distribution is 1/lambda and the standard deviation is also 1/lambda. Set lambda = 0.2 for all of the simulations. You will investigate the distribution of averages of 40 exponentials. Note that you will need to do a thousand simulations.

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 basic goal of this project is to explore the NOAA Storm Database and answer some basic questions about severe weather events.