Recently Published
Analysis of Human Activity Recognition (HAR) Dataset using Practical Machine Learning Techniques
The goal of your project is to predict the manner in which the participants did the exercise. This is the “classe” variable in the training set. You may use any of the other variables to predict with. You should create a report describing how you built your model, how you used cross validation, what you think the expected out of sample error is, and why you made the choices you did. You will also use your prediction model to predict 20 different test cases.
Regression Model Project - Analysis of Motor Trend Cars Dataset
The report aims at analyzing the data set of a collection of cars for exploring the relationship between a set of variables and miles per gallon (MPG). The report addresses the following questions:
1. Is an automatic or manual transmission better for MPG
2. Quantify the MPG difference between automatic and manual transmissions
Statistical Inference - Data analysis using exponential distribution
The report aims to investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution is simulated in R with rexp(n, lambda) where lambda is the rate parameter. For this study the lambda is chosen as 0.2 for all of the simulations. The purpose is to investigate the distribution of averages of 40 exponentials with 1000 simulations.
Analysis of ToothGrowth Dataset
The report aims to analyse the ToothGrowth data using R datasets package.
Analysis of ToothGrowth data
The report aims to analyze the ToothGrowth data in the R datasets package.
Statistical Inference - Data analysis using exponential distribution
The report aims to investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution is simulated in R with rexp(n, lambda) where lambda is the rate parameter. For this study the lambda is chosen as 0.2 for all of the simulations. The purpose is to investigate the distribution of averages of 40 exponentials with 1000 simulations.
Storms and other weather events that cause both public health and economic problems in USA
In this report we aim to explore 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. From these data, we found that Tornado causes major harmful injuries whereas Tornado, Heat, Lightening and Flood are major fatal weather events causes death in USA.