Publications by Jenna Lovely
lab 2
Introduction to Me Hello, my name is Jenna Lovely and I am in my fourth year at the University of Cincinnati. I am an Accounting major with a minor in Business Analytics. I am from a very small town named Camden, Ohio. Academic Background Preble Shawnee High School University of Cinncinnati Professional Background Currently, I am working par...
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lab 9
#PACKAGES # Data wrangling & visualization packages library(tidyverse) # Modeling packages library(tidymodels) #IMPORT library(readr) boston <- read_csv("data/boston-1.csv") head(boston) ## # A tibble: 6 × 16 ## lon lat cmedv crim zn indus chas nox rm age dis rad ## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <...
2043 sym R (3713 sym/10 pcs) 2 img
Document
Prereqs Packages library(tidymodels) library(tidyverse) a. import the boston.csv data b. create a 70-30 train/test dataset split c. fit a multiple linear regression model using all predictors in their current state (without any feature engineering) d. and compute the RMSE on the test data library(readr) boston <- read_csv("~/R Studio/BA...
2335 sym R (5388 sym/12 pcs)
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Prereqs # Helper packages library(tidyverse) # Modeling packages library(tidymodels) # Model interpretability packages library(vip) library(readr) titanic <- read_csv("data/titanic.csv") titanic <- mutate(titanic, survived = factor(survived)) titanic ## # A tibble: 1,043 × 4 ## pclass survived sex age ## <chr> <fct> ...
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# Helper packages library(tidyverse) # for data wrangling & plotting # Modeling packages library(tidymodels) # for fitting MARS models # Model interpretability packages library(vip) # for variable importance library(pdp) # for variable relationships library(rsample) # data splitting library(ggplot2) # plotting l...
3835 sym R (7187 sym/40 pcs) 6 img
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The purpose of this report is to look deeper into Regorks customer data in order to predict whether customers will leave in the future. Regork wants to appeal to these customers before they leave. In order to do this I selected three models to use on this data. ##1. Data Preparation & Exploratory Data Analysis #Packages Required For this proje...
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