Publications by Amit Kapoor
Data 607- TidyVerse Extend
stringr: a package used to manipulate strings Ordering Strings Combining Strings Replacing Strings Get the Length of a String Extended By Amit Kapoor str_which() str_match() str_pad() str_dup() str_detect() str_locate() Conclusion Devin Teran - Extended By :: Amit Kapoor 4/16/2020 Getting started First we need to load these packages: tidyve...
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Data 605 - Assignment 11
Using the “cars” dataset in R, build a linear model for stopping distance as a function of speed and replicate the analysis of your textbook chapter 3 (visualization, quality evaluation of the model, and residual analysis.) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## fi...
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Data607-Project4
Data607 - Project 4 Amit Kapoor 4/22/2020 Document Classification Introduction For Project 4 we will try to classify new “test” documents using already classified “training” documents. A common example is using a corpus of labeled spam and ham (non-spam) e-mails to predict whether or not a new document is spam. For this project, we used...
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Data608HW1
Principles of Data Visualization and Introduction to ggplot2 library(dplyr) library(ggplot2) I have provided you with data about the 5,000 fastest growing companies in the US, as compiled by Inc. magazine. lets read this in: inc <- read.csv("https://raw.githubusercontent.com/charleyferrari/CUNY_DATA_608/master/module1/Data/inc5000_data.csv", hea...
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Data 608 - Final Project
Data 608 - Final Project Amit Kapoor 12/01/2020 OpenFlights Introduction Airlines industry has been a major mode of transportation within any country or across the countries around the globe now. Though it involves its strict guidelines for airport operations, flights, their routes and all, every other country is now substantially looking to in...
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Data624 - Homework1
library(fpp2) Exercise 2.1 Use the help function to explore what the series gold, woolyrnq and gas represent. ?gold ?woolyrnq ?gas gold: Daily morning gold prices in US dollars. 1 January 1985 – 31 March 1989. woolyrnq: Quarterly production of woollen yarn in Australia: tonnes. Mar 1965 – Sep 1994. gas: Australian monthly gas production: 1...
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Data624 - Homework3
library(fpp2) library(dplyr) library(gridExtra) library(seasonal) 6.2 The plastics data set consists of the monthly sales (in thousands) of product A for a plastics manufacturer for five years. ?plastics plastics - Monthly sales of product A for a plastics manufacturer. glimpse(plastics) ## Time-Series [1:60] from 1 to 5.92: 742 697 776 898 103...
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Data624 - Homework2
library(fpp2) library(gridExtra) 3.1 For the following series, find an appropriate Box-Cox transformation in order to stabilise the variance. # function to draw 2 plots: original and with BoxCox transformation plot_timeseries <- function(timeseries) { lambda <- BoxCox.lambda(timeseries) ts_original <- autoplot(timeseries) + ggtitle(sub...
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Data624 - Project1
Overview This project includes 3 time series dataset and requires to select best forecasting model for all 3 datasets. Part A - ATM Forecast Part B - Forecasting Power Part C - Waterflow Pipe Part A - ATM Forecast The dataset contains cash withdrawals from 4 different ATM machines from May 2009 to Apr 2010. The variable ‘Cash’ is provided i...
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Data624 - Homework6
Exercise 8.1 Figure 8.31 shows the ACFs for 36 random numbers, 360 random numbers, and 1,000 random numbers. a Explain the differences among these figures. Do they all indicate that the data are white noise? As sample size increases (from 36 random number to 360 random numbers and then 1,000 random numbers), the correlation tends to 0.The ACF b...
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