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Practical Machine Learning - Weightlifting Exercises
This report will evaluate several machine learning models that attempt to predict the manner in which a human subject is performing a dumbbell lift exercise.
Coursera Regression Models Project
final project for course with all R code echoed
Coursera Statistical Inference Project, part 1
This report will compare the mean and variance of the exponential distribution derived from simulations with large sample sizes, and compare these results to theoretical values. The author will then demonstrate that the **Central Limit Theorem** (CLT) holds for the distribution of the sample averages derived from random sample iid variates of the exponential distribution, and that the normality assumption improves with increased sample size, even for a highly-skewed sample population.
Impact of Weather Events on Public Health and Assets
Coursera Reproducible Research Project
Peer-graded Assignment: Course Project 2, week 4