Publications by Johnny Rodriguez
Data 624 Week 6 HW
# Load libraries library(fpp3) library(dplyr) library(imputeTS) library(stringr) library(fable) library(tibble) library(ggplot2) Instructions Do exercises 8.1, 8.5, 8.6, 8.7, 8.8, 8.9 in Hyndman. Please submit both the link to your Rpubs and the .pdf file with your run code Exercise 8.1 Consider the the number of pigs slaughtered in Victoria, ava...
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Data 624 ARIMA
Plot & Transform library(ggplot2) library(tsibble) library(tidyverse) library(lubridate) library(forecast) library(tseries) library(fabletools) library(fable) library(feasts) Import data raw_data_path<-("https://raw.githubusercontent.com/amedina613/Data624-ARIMA-group/refs/heads/main/UNRATE.csv") unrate_raw <- read.csv(raw_data_path) head(unrate_...
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Data 624 Week 5 HW
Instructions Do problems 3.1 and 3.2 in the Kuhn and Johnson book Applied Predictive Modeling. Please submit your Rpubs link along with your .pdf for your run code. Exercise 3.1 - Glass The UC Irvine Machine Learning Repository6 contains a data set related to glass identification. The data consist of 214 glass samples labeled as one of seven class...
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Data 624 Week 4 HW
Instructions Do exercises 5.1, 5.2, 5.3, 5.4 and 5.7 in the Hyndman book. Please submit your Rpubs link as well as your .pdf file showing your run code. # Load libraries library(fpp3) library(fable) library(tsibble) library(dplyr) library(ggplot2) library(feasts) library(gridExtra) library(imputeTS) Exercise 5.1 Produce forecasts for the following...
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Data 624 Week 3 Homework
Instructions Do exercises 3.1, 3.2, 3.3, 3.4, 3.5, 3.7, 3.8 and 3.9 from the online Hyndman book. Please include your Rpubs link along with.pdf file of your run code # Load libraries library(fpp3) library(dplyr) library(gridExtra) library(seasonal) Exercise 3.1 Consider the GDP information in global_economy. Plot the GDP per capita for each countr...
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Data 624 Week 2 Homework
Instructions Please submit exercises 2.1, 2.2, 2.3, 2.4, 2.5 and 2.8 from the Hyndman online Forecasting book. Please submit both your Rpubs link as well as attach the .pdf file with your code. # Load libraries library(fpp3) library(dplyr) library(imputeTS) Exercise 2.1 Explore the following four time series: Bricks from aus_production, Lynx from ...
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Data 605 Final Project
Multilinear Regression Model Top 3 Predictor Variables # Load necessary libraries library(dplyr) library(car) # Load the dataset data <- read.csv("https://raw.githubusercontent.com/johnnydrodriguez/data605/main/train.csv", header = TRUE) # Identify quantitative columns and exclude 'Id' and 'SalePrice' quantitative_columns <- data %>% select_if...
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Data 605 Homework Week 15
Find the Equation of the Regression Line Given the data points: (5.6, 8.8), (6.3, 12.4), (7, 14.8), (7.7, 18.2), and (8.4, 20.8). 1. Equation of the Regression Line The equation of the regression line is expressed as: \[ y = mx + b \] To generate the equation, we take the following steps: 2. Calculate the Mean of \(x\) and \(y\) 3. Calculate the...
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Data 605 Homework Week 14
\(f(x) = \frac{1}{1-x}\) Taylor Series Derivation Function and Its Derivatives: First derivative \(f'(x) = \frac{1}{(1-x)^2}\) Second derivative \(f''(x) = \frac{2}{(1-x)^3}\) Third derivative \(f'''(x) = \frac{6}{(1-x)^4}\) Fourth derivative \(f''''(x) = \frac{24}{(1-x)^5}\) Evaluate at \(x = 0\): \(f(0) = 1\) \(f'(0) = 1\) \(f''(0) = 2\) \(f...
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Discussion Week 14
Taylor Series Expansion for \(f(x) = \sin(2x + 3)\) Chapter 8.8, #27 Function and Its Derivatives: First derivative \(f'(x) = 2\cos(2x + 3)\) Second derivative \(f''(x) = -4\sin(2x + 3)\) Third derivative \(f'''(x) = -8\cos(2x + 3)\) Fourth derivative \(f''''(x) = 16\sin(2x + 3)\) Evaluate at \(x = 0\): \(f(0) = \sin(3)\) \(f'(0) = 2\cos(3)\) \...
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