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uky994

Joseph James Campbell

Recently Published

STA 6543 Final Project Example
Decision Trees, Ensemble Methods, and Class Imbalance
Comparing modelr and caret
Best Subset Selection, Lasso Regression, and Ridge Regression
Cross-Validation, Discriminant Analysis, and Non-Parametric Tuning
Logistic Regression, LDA, and QDA
Linear Regression in a Prediction Context
Generalized Linear Models
Model Selection in Practice - Stepwise Logistic Regression
Model Complexity and Efficiency Mastering Subset Selection in Multiple Regression
Multiple Regression A Case Study in Real Estate Valuation
Simple Linear Regression: From Visualization to Inference
ANOVA in R w/ Two-Way
One Way ANOVA in R
EDA on NYCFLIGHTS13
EDA 2: Covariation and Advanced Visualization Techniques
EDA on Attrition data (part 1)
Optical Recognition of Handwritten Digits With SVMs
Tree-Based Models in R Using Caret
Lasso and Ridge Regression with Caret in R
Logistic Regression, LDA, and QDA with Cross-Validation
Discrete Time Logit Models for Event Time
Arima Models
Exponential Smoothing Models
Time series regression, autocorrelation, moving averages.
Introduction to Time Series
Classification using Tidymodels
Linear Regression In R
Survival Analysis in R
Interpreting Logistic Regression Coefficients
Multivariable Logistic Regression in R
Automated EDA in R
EDA in R
Exploratory Data Analysis in R
ANOVA in R
Walkthrough of performing an Analysis of Variance in R
R Lab: Survival Analysis
ISLR Chapter 8 Problem 9
Decision Tree on OJ data
R class assignment 1
R Lab: Logistic Regression
ISLR Chapter 9 ITSEM HW
ISLR Chapter 8 ITSEM HW
ISLR Chapter 7 ITSEM HW
ISLR Chapter 6 ITSEM HW
ITSEM Session 1 Statistical Learning, Linear Regression, and Classification
ISLR Chapter 5 ITSEM HW
Crime analysis in R
Case Study EPA
Lab 5 Cross-Validation and the Bootstrap
Rmarkdown Demo
Problem #10 for HW #3, ISLR Chapter 3.
R Lab: Logistic Regression, LDA, QDA, and KNN
Principle Comonents Analysis R Lab
NCI60 Data Example R Lab
R Lab: Clustering
Linear Regression R Lab
Introduction to R Lab
Case Study WHO Example Questions
Tidy Data Case Study
googleVis
Leaflet
Plotly
SVM with CARET
Lab 8 Trees Based Method
STA4143_mt_caret
ISLR Chapter 5 Problem 5
estimating model accuracy on iris
scales76_Demo
annotations75_demo
label74_demo
code_chunks73_demo
txt_fmt72_demo
rmd_basics71_demo
simplifying_listcols70_demo
creating_list_columns69_demo
gapminder68_demo
flights68_demo
diamonds67_demo
formulas_model_fam66_demo
vizmod65_demo
simplemod54_demo
otherpatterns_forloops63_demo
map_functions62_demo
loopsvfuncs61_demo
for_loop_variation60_demo
forloops59_demo
augmented_vectors58_demo
lists57_demo
using_atomic_vecs56_demo
atomic55_demo
func_args54_demo
conditional_execution53_demo
functions52_demo
functions51_demo
timespan50_demo
dtcomponents49_demo
creating_dts48_demo
fact_lvl_mod48_demo
fact_order_mod47_demo
gss46_demo
stringi45_demo
otherPatterns44_demo
splitting43_demo
replace_matches42_demo
grouped_matches41_demo
extract_matches40_demo
detectMatch38_demo
backref38_demo
repetition37_demo
charClasses36_demo
anchors35_demo
basicMatches34_demo
stringBasics33_demo
filteringjoins32_demo
mutatejoin31_demo
keys30_demo
nycflights13_29_demo
tidydatacasestudy28
missing27_demo
sepuni26_demo
pivoting25_demo
tidydata24_demo
parsevec23_demo
readr21_demo
tibbles21_demo
twocontvars20_demo
twocats19_demo
edacovar18_demo
edamiss17_demo
eda16_demo
workflow_scripts15_demo
groupmutate14_demo
groupsum13_demo
newvar_mutate12_demo
select11_demo
arrange10_demo
filter_demo09
workflow_basics08_demo
coordsys07_demo
posadj06_demo
Rstat_transform05_demo
Rgeom04_demo
Rfacets03_demo
Raesthetics02_demo
Rviz01_demo
Lab 9 Support Vector Machines
R Assignment 4 Problem 3
Lab 7 Non-linear Modeling
Lab 6c PCR and PLS Regression
Lab 6b Ridge Regression and the Lasso
Lab 6a Subset Selection Methods
Lab 4: Logistic Regression, LDA, QDA, and KNN
Web Scraping IMDB
Carvana
My attempt at Carvana's analytics experiment evaluation assignment
Lab 3 Reproducible Research
Problem #10 on Homework #3 from ISLR
Cleaning Data with data.table and dplyr
With all the fuss over which is better, dplyr or data.table, i thought it useful to perform the same functions on a data set in order to compare syntax
pitch for shiny app
here's my 5 slide pitch for my shiny app located at https://uky994.shinyapps.io/corr1/
Rmd Presentation & Plotly
The goal of this project is to create a web page presentation using R Markdown that features a plot created with Plotly.
R Markdown and Leaflet Project
This is my attempt at creating a web page using R Markdown that features a map created with Leaflet as part of the data science specialization at john hopkins university through coursera
Weather Events in the US: Course Project #2
My attempt at Course Project #2 for the Reproducible Research course as part of the Data Science Certification through Johns Hopkins University on Coursera.org