Publications by William Jasmine
Data 624 - HW 4 - Data Preprocessing
All exercises can be found in “Applied Predictive Modelling” written by Max Kuhn and Kjell Johnson. Setup The following packages are required to rerun this .rmd file: seed_num <- 200 library(tidyverse) library(AppliedPredictiveModeling) library(corrplot) library(mlbench) library(e1071) library(caret) library(fpp3) Exercise 3.1 Description Th...
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Data 624 - HW 8 - Non-Linear Regression
All exercises can be found in “Applied Predictive Modelling” written by Max Kuhn and Kjell Johnson. Setup The following packages are required to rerun this .rmd file: seed_num <- 200 library(tidyverse) library(AppliedPredictiveModeling) library(mlbench) library(caret) library(doParallel) library(kernlab) library(earth) The cell below sets up a...
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Data 624 - HW 7 - Linear Regression
All exercises can be found in “Applied Predictive Modelling” written by Max Kuhn and Kjell Johnson. Setup The following packages are required to rerun this .rmd file: seed_num <- 200 library(tidyverse) library(AppliedPredictiveModeling) library(caret) library(pls) library(elasticnet) library(Hmisc) Exercise 6.2 Description Developing a model...
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Data 624 - HW 9 - Tree Based Models
All exercises can be found in “Applied Predictive Modelling” written by Max Kuhn and Kjell Johnson. Setup The following packages are required to rerun this .rmd file: seed_num <- 200 library(tidyverse) library(mlbench) library(randomForest) library(caret) library(party) library(Cubist) library(gbm) library(rpart) library(AppliedPredictiveModel...
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Data 624 - HW 5 - Exponential Smoothing
All exercises can be found in “Forecasting: Principles and Practice” written by Rob J Hyndman and George Athanasopoulos. Setup The following packages are required to rerun this .rmd file: seed_num <- 42 library(tidyverse) library(fpp3) Exercise 8.1 Description Consider the the number of pigs slaughtered in Victoria, available in the aus_live...
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Data 624 - HW3 - Basic Forecasting Methods
All exercises can be found in “Forecasting: Principles and Practice” written by Rob J Hyndman and George Athanasopoulos. Setup The following packages are required to rerun this .rmd file: library(tidyverse) library(fpp3) Exercise 5.1 Description Produce forecasts for the following series using whichever of NAIVE(y), SNAIVE(y) or RW(y ~ drift...
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Data 624 - HW2 - Time Series Decomposition
All exercises can be found in “Forecasting: Principles and Practice” written by Rob J Hyndman and George Athanasopoulos. Setup The following packages are required to rerun this .rmd file: library(tidyverse) library(fpp3) library(seasonal) library(USgas) library(shiny) library(x13binary) Exercise 3.1 Description Consider the GDP information i...
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Data 624 - HW1 - Time Series Basics
All exercises can be found in “Forecasting: Principles and Practice” written by Rob J Hyndman and George Athanasopoulos. Setup The following packages are required to rerun this .rmd file: library(tidyverse) library(fpp3) library(USgas) Exercise 2.1 Description Explore the following four time series: Bricks from aus_production, Lynx from pelt...
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Data 622 - HW3 - SVM Models
0. Setup The following packages are required to rerun this .rmd file: library(tidyverse) library(rpart) library(rpart.plot) library(knitr) library(gridExtra) library(ranger) library(fastDummies) library(e1071) seed_num <- 42 # common seed value for randomized operations 1. Introduction The purpose of the work presented here is to evaluate the per...
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Data 622 - HW2 - Tree Based Models
Setup The following packages are required to rerun this .rmd file: library(tidyverse) library(rpart) library(rpart.plot) library(knitr) library(gridExtra) library(ranger) seed_num <- 42 # common seed value for randomized operations Part 1 - Introduction The work presented here shows how decision trees and random forests can be used to solve class...
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