Publications by Kavita Vellala
Capstone - Kavita Vellala
10/07/2020 Introduction The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit: A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word. A s...
1300 sym
Capstone-Project Kavita Vellala
Feb 1 2025 Introduction The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit: A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word. A s...
1073 sym
Capstone-project Kavita Vellala
Introduction The goal of the capstone project is to create a predictive text model using a large text corpus of documents as training data. Natural language processing techniques will be used to perform the analysis. Loading (Blogs, News, Twitter) ##setwd("D:/Coursera/Coursera-SwiftKey/final/en_US") blogs <- readLines("en_US.blogs.txt", warn = FA...
1341 sym R (5627 sym/27 pcs) 3 img
capstone-ppt
Introduction The goal of this exercise is to create a product to highlight the prediction algorithm that you have built and to provide an interface that can be accessed by others. For this project you must submit: A Shiny app that takes as input a phrase (multiple words) in a text box input and outputs a prediction of the next word. A slide deck co...
1163 sym
Prediction-writeup
Objective The purpose of this project was to quantify how well the participants performed a barbell lifting exercise and to classify the measurement read from an accelerometer into 5 different classes (Class A:Class E). Please reference the links below for the data sources: http://groupware.les.inf.puc-rio.br/har https://d396qusza40orc.cloudfront.n...
1418 sym R (1166 sym/9 pcs)
Reproducible-Research
Reproducible Research: Assessment 1 Loading and preprocessing the data data <- read.csv("/home/rstudio/Reproducible Research/week2/activity.csv") What is mean total number of steps taken per day? library(ggplot2) total.steps <- tapply(data$steps, data$date, FUN=sum, na.rm=TRUE) qplot(total.steps, binwidth=1000, xlab="total number of steps taken e...
1452 sym R (1979 sym/19 pcs) 4 img
Storm-analysis
1: Synopsis The goal of the assignment is to explore the NOAA Storm Database and explore the effects of severe weather events on both population and economy.The database covers the time period between 1950 and November 2011. The following analysis investigates which types of severe weather events are most harmful on: Health (injuries and fatalitie...
1346 sym R (6391 sym/16 pcs) 2 img
Shinyobjects2
Jan 21 2025 About the Course Project This is a deliverable for the course Developing Data Products as part of the Coursera Data Science Specialization. Instructions: Write a shiny application with associated supporting documentation. The documentation should be thought of as whatever a user will need to get started using your application. Deploy ...
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Shinyapp - Kavita Vellala
Diamond Analysis Report Diamond Data Analysis Report enabled developing data products using shiny apps being embeded within RMarkDown. Using PageUp and PageDown keys all the slides can be traversed. Application Overview Diamonds Properties can be analysed using several Parameters. Carat,Price,sample size,color Depth are some of the common paramet...
925 sym R (33 sym/1 pcs)
Plotly - Kavita Vellala
Airquality dataset The relationship between Ozone and Temprature with respect to Month and Day ‘Figure 1: Ozone vs Temprature’ Thank you...
145 sym