Publications by Kaylie Evans
Project 01
PART A Introduction This request comes from DATA 624 Predictive Analytics at CUNY SPS. The goal of part A is to forecast how much cash is taken out of 4 different ATM machines for May 2010. The data was provided to the class in the project section of our Brightspace. I took the data and uploaded it to my personal GitHub so this RMD can be run on a...
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Assignment02
Introduction This RMD supports Assignment 02 for CUNY SPS DATA 622, where we begin to build a model with 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 (vari...
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Homework06
Introduction The following RMD contains answers to exercises in chapter 9 of the Forecasting: Principles and Practice textbook for CUNY SPS DATA 624 Spring 2025 https://otexts.com/fpp3/arima-exercises.html. This chapter focuses on ARIMA models. The 9.11 Exercises answered here include 9.1, 9.2, 9.3, 9.5, 9.6, 9.7 and 9.8. Load Libraries library(fp...
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Homework05
Introduction The following RMD contains answers to exercises in chapter 8 of the Forecasting: Principles and Practice textbook for CUNY SPS DATA 624 Spring 2025 https://otexts.com/fpp3/expsmooth-exercises.html. This chapter focuses on exponential smoothing. The 8.8 Exercises answered here include 8.1, 8.5, 8.6, 8.7, 8.8, and 8.9. Load Libraries li...
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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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