Publications by Joshua Registe
Data 624 Assignment 5
Question 7.1 Consider the pigs series — the number of pigs slaughtered in Victoria each month. a. Use the ses() function in R to find the optimal values of \(\alpha\) and \(\iota_0\), and generate forecasts for the next four months. pigs_ses <- ses(pigs, h = 4) summary(pigs_ses) Forecast method: Simple exponential smoothing Model Informati...
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Data 624 Assignment 6
8.1 Figure 8.31 Shows the ACFs for the 36 randmo 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? Each of these figures show a white noise series of different periods. The longer the time series, the smaller the scale for indicating whether th...
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Data624 Project 1
Code Show All Code Hide All Code Data 624 Project 1 Data 624 Project 1 Part A – ATM Forecast Models to be Evaluated ATM 1 ATM 2 ATM 3 ATM 4 Part B – Forecasting Power Exploration Joshua Registe 4/9/2021 Part A – ATM Forecast ATM624Data.xlsx In part A, we will forecast how much cash is taken out of 4 different ATM machines for Ma...
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Data622 Assignment 3
Code Show All Code Hide All Code Group 4 Assignment 3 Group 4 Assignment 3 (Q1) k-Nearest Neighbors Loan Data Exploration and Prep (Q2) Decision Tree (Q3) Random Forest (Q4) Gradient Boosting (Q5) Model Performance and Selection Penguins data prep Ajay Arora, Romerl Elizes, Jimmy Ng, Joshua Registe, Adam Rich April 11, 2021 (Q1) k-Neares...
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Data624 HW8
Code Show All Code Hide All Code Data 624 Assignment 8 Data 624 Assignment 8 7.2 7.5 Joshua Registe 4/24/2021 7.2 Friedman (1991) introduced several benchmark data sets created by simulations. One of these simulations uses a non linear equation (See Applied Predictive Modeling Question 7.2 for equation) to create data where th ex values ...
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Data624 HW7
Code Show All Code Hide All Code Data 624 Assignment 7 Data 624 Assignment 7 6.2 A. B. C. D. E. F. 6.3 A. B. C. D. E. F. Joshua Registe 4/18/2021 6.2 Developing a model to predict permeability (see Sect. 1.4) could save significant resources for a pharmaceutical company, while at the same time more rapidly identifying molecules that h...
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Data624 HW9
Code Show All Code Hide All Code Data 624 Assignment 9 Data 624 Assignment 9 8.1 b. d. 8.2 8.3 8.7 A. b. c. Joshua Registe 5/2/2021 8.1 a. Fit a random forest model to all of the predictors, then estimate the variable importance scores: library(mlbench) set.seed(200) simulated <- mlbench.friedman1(200, sd = 1) simulated <- cbind...
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