Publications by Kaylie Evans
Assignment01
Introduction This RMD supports Assignment 01 for CUNY SPS DATA 622, where we explore a dataset from a Portuguese bank’s marketing campaign. The bank used phone calls to predict whether clients would subscribe to a term deposit. The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y) by applying mach...
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Homework04
Introduction The following RMD contains answers to exercises in chapter 3 of the Kuhn and Johnson book Applied Predictive Modeling textbook for CUNY SPS DATA 624 Spring 2025 http://appliedpredictivemodeling.com/. This chapter focuses on different tools of a forecaster. The exercises answered here include 3.1 and 3.2. ChatGPT was used to help solve ...
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Homework03
Introduction The following RMD contains answers to exercises in chapter 5 of the Forecasting: Principles and Practice textbook for CUNY SPS DATA 624 Spring 2025 https://otexts.com/fpp3/toolbox-exercises.html. This chapter focuses on different tools of a forecaster. The 5.11 Exercises answered here include 5.1, 5.2, 5.3, 5.4 and 5.7. Load Libraries...
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DATA624 Homework 02
Introduction The following RMD contains answers to exercises in chapter 3 of the Forecasting: Principles and Practice textbook for CUNY SPS DATA 624 Spring 2025 https://otexts.com/fpp3/decomposition-exercises.html. This chapter focuses on Time Series Decomposition, its applications, uses, and methods. The 3.7 Exercises answered here include 3.1, 3....
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Homework01 2.10 Exercises
Introduction This assignment answers questions from the Forecasting: Principles and Practice textbook, 3rd edition. The questions come from chapter 2 section 10 - Exercises. Prompts for each question are included before their respective code/answers. Load Libraries library(fpp3) ## Registered S3 method overwritten by 'tsibble': ## method ...
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Project04
Introduction Using a data set of labeled spam and ham (non-spam) e-mails, a predictive classifier tool is made that predicts if a new document is spam. This project explores document classification, aiming to boost productivity and organize information better. Load libraries library(utils) library(stringr) library(tidyverse) ## ── Attaching co...
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Assignment08
Introduction The recommender system chosen here is the TikTok For You Page. The For You Page (FYP) is the landing page when a user opens the TikTok app that presents a customized stream of videos sourced from both creators users may not yet follow and videos from creators the user does follow. These selections are tailored by TikTok’s algorithm t...
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Assignment07
Primary Example Code from Chapter 2 of Text Mining with R: Introduction The below code has been adapted from code in Text Mining with R: A Tidy Approach by Julia Silge and David Robinson, ch. 2. The comments come from this textbook, minimally altered to explain each of the code chunks below them. The structure of the code has a focus on various m...
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Assignment06
Introduction The goal of this RMD is to take one of the New York Times APIs, construct an interface in R to read in the JSON data and transform it into an R DataFrame. The NYT API that was chosen is the Books API and the data to be taken out of that is the current best sellers list for graphic books and manga. Import Libraries library(tidyverse) ...
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Project03
Load Database Get normalized database from MySQL server and browse. azuredb = dbConnect(MySQL(), user=params$dbuser, password=params$dbpass, dbname=params$dbname, host=params$dbhost) jobs <- dbGetQuery(azuredb, "SELECT j.id as id, t.title as title, c.cname as company, o.val as onsite_remote, j.descr as `description`, j.salary as...
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