Publications by Adriana Medina
DATA624 Project 2
library(readxl) library(caret) library(tidyverse) library(VIM) library(ggplot2) library(GGally) library(car) library(glmnet) Abstract We are tasked with with analyzing the manufacturing process of a beverage company, ABC Beverage. Specifically, we are tasked with analyzing what factors in the process can help us predict the PH of a beverage. We tr...
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Data624-Homework 9-Adriana
8.1. Recreate the simulated data from Exercise 7.2: library(mlbench) set.seed(200) simulated <- mlbench.friedman1(200, sd = 1) simulated <- cbind(simulated$x, simulated$y) simulated <- as.data.frame(simulated) colnames(simulated)[ncol(simulated)] <- "y" (a) Fit a random forest model to all of the predictors, then estimate the variable importance s...
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Data624-Homework 8
library(caret) ## Loading required package: ggplot2 ## Loading required package: lattice 7.2. Friedman (1991) introduced several benchmark data sets create by simulation. One of these simulations used the following nonlinear equation to create data: y = 10sin(πx1x2)+20(x3−0.5)2 +10x4 +5x5 +N(0,σ2) where the x values are random variables unif...
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Data-624-Homework 7
6.2 Developing a model to predict permeability(see Sect.1.4) could save significant resources for a pharmaceutical company,while at the sametime more rapidly identifying molecules that have a sufficient permeability to become a drug: The matrix fingerprints contains the 1,107 binary molecular predic- tors for the 165 compounds, while permeability c...
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Data624-Project 1
Part A- ATM data In part A, I want you to forecast how much cash is taken out of 4 different ATM machines for May 2010. The data is given in a single file. The variable ‘Cash’ is provided in hundreds of dollars, other than that it is straight forward. Load Libraries Prepare Data file_path <- ("~/Desktop/Data 624 fall 2024/Data624-Project1/ATM...
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Data 624 Homework 6
Install libraries 9.1 Figure 9.32 shows the ACFs for 36 random numbers, 360 random numbers and 1,000 random numbers. Figure 9.32 Left: ACF for a white noise series of 36 numbers. Middle: ACF for a white noise series of 360 numbers. Right: ACF for a white noise series of 1,000 numbers. Explain the differences among these figures. Do they all ind...
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MSDS Data 624-Homework 4-Adriana
library(ggplot2) library(corrplot) ## Warning: package 'corrplot' was built under R version 4.3.3 ## corrplot 0.94 loaded library(gridExtra) library(dplyr) ## ## Attaching package: 'dplyr' ## The following object is masked from 'package:gridExtra': ## ## combine ## The following objects are masked from 'package:stats': ## ## filter, lag...
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Data624-Homework-1-Adriana
library(fpp3) ## Warning: package 'fpp3' was built under R version 4.3.3 ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching packages ──────────────────────────────────────────── f...
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Data607-Final-Project Bluebook
Load libraries library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(dbplyr) ## ## Attaching package: 'dbplyr' ## The following objects are masked from 'package:...
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Data 607-discussion 4- Adriana
The assignment: Your task is to analyze an existing recommender system that you find interesting. You should: Perform a Scenario Design analysis as described below. Consider whether it makes sense for your selected recommender system to perform scenario design twice, once for the organization (e.g. Amazon.com) and once for the organization’s cus...
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