In this report,using Groupware@LES Human Activity Recognition Project data will build a machine learning modal to classify human activity with 99 % accuracy using Random Forest and Gradient Boosting .

In this report, mtcars data set will be analyzed, to explore the relationship between a the variables and Miles Per Gallon(MPG). The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).

Residuals and Diagnostics plots are tools to spot problems on the model will use some simulations and R data package to illustrate how to generate diagnostics plots and how to interpret them.

This data analysis address natural disasters effects on US economy and population , so will investigate the NOAA dataset from National Climatic Data Center of USA to know total effects on both citizens and economics.and also, investigate which event from all natural disasters events has the greatest economics consequences ?. And also , which event from all natural disasters events are most harmful to population health?