For the "Practical Machine Learning" course at Coursera, the class was given
a dataset from a Human Activity Recognition (HAR) study1 that tries to assess
the quality of an activity (defined as “... the adherence of the execution
of an activity to its specification ...”), namely a weight lifting exercise,
using data from sensors attached to the individuals and their equipment.
Project for the "Statistical Inference" course (Coursera, Aug. 2014)
Compare simulated mean and variace with the theoretical values
We will run 1000 rounds of simulation of 40 exponentials with \lambda = 0.2,
using a fixed seed, and comparing the center of the distribution of the mean
and variance values with the theoretical 1 / \lambda:
Assignment 2 of the course "Reproducible Research" (Coursera)
Storms have a (usually negative) effect on human populations, and in this analysis
we study the overall impact on public health (in terms of deaths or
injuries caused by the events), as well as the financial losses incurred
by damage to property and crops.