Publications by Vladimir Maganov
Data Science Capstone Project - Milestone Report
Introduction The project goal is to create a data product (Shiny app) that utilizes an NLP algorithm to predict the next word given an input phrase. This report provides the exploratory analysis of the training data, summary statistics, and describes our plans for creating a prediction algorithm and Shiny app. Data For more simplicity and bre...
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Statistical Inference Course Project - Part 1
Overview In this project we will investigate the exponential distribution, \(X \sim Exp(\lambda)\), in R and compare it with the Central Limit Theorem. A per project instructions, the rate parameter \(\lambda\) must be \(0.2\) and this determines the mean \(\mu\) and standard deviation \(\sigma\), both equal to \(1/ \lambda=5\). The properties of...
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Reproducible Research - Course Project 2
Synopsis The idea behind this analysis is to identify types of severe weather events that have the greatest impact on public health and the economy. We use the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database as a source of characteristics of major storms and weather events in the United States for the period from 19...
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Statistical Inference Course Project - Part 2
Overview In this project we will analyze the ToothGrowth data from the R datasets package. According to the R documentation, the dataset shows “the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs” in relation to “one of three dose levels of vitamin C (0.5, 1, and 2 mg/day) by one of two delivery methods” (ano...
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Statistical Inference Course Project - Part 2, clipped
Overview In this project we will analyze the ToothGrowth data from the R datasets package. According to the R documentation, the dataset shows “the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs” in relation to “one of three dose levels of vitamin C (0.5, 1, and 2 mg/day) by one of two delivery methods” (ano...
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Regression Models Course Project, clipped
Executive Summary In this report, we analyze the mtcars data set (extracted from the 1974 Motor Trend US magazine, and comprising fuel consumption and 10 aspects of automobile design and performance for 32 automobiles) in order to ascertain and quantify the MPG difference between automatic and manual transmissions. Our model based on the multiva...
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Regression Models Course Project
Executive Summary In this report, we analyze the mtcars data set (extracted from the 1974 Motor Trend US magazine, and comprising fuel consumption and 10 aspects of automobile design and performance for 32 automobiles) in order to ascertain and quantify the MPG difference between automatic and manual transmissions. Our model based on the multivar...
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