Brendan Callender
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(10)
Data Science
(5)
Python
(3)
R
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Portfolio
Thesis
Data Science
R
For my thesis, I contributed two new methods to the
tidyclust
package in
R
. The
tidyclust
package exists as a part of the
tidyverse
collection of packages to unify…
European Football Leagues Project
Data Science
Python
For this project, I work with 2021-2022 season data for the top 5 European football leagues. The data was acquired from FBref and spans passing, shooting, defense, shot…
Classifying Risky Mortgage Applicants
Data Science
Python
For this project, we were asked to pose as data scientists working in the mortages division of a bank. We were tasked with building a
predictive model
to determine
whether a…
Step Counting Project
Data Science
Python
For this project, we used activity data collected, and labeled by the Cal Poly Kinesiology Department to develop a new
step counting
algorithm using
machine learning…
Detecting Heart Disease and Diabetes Project
Data Science
R
The goal of this project was to develop
predictive models
that can be used to detect
diagnoses for diabetes and heart disease
in patients This was a mock data science…
Design and Analysis of Experiments
Statistics
For this project, we
developed an experimental design
,
collected data
, and
performed an analysis
testing whether differences in the type of water used and brewing time cause…
Generalized Linear Models
Statistics
R
A large do-it-yourself (DIY) store in a densely populated suburb has collected data on the number of customers who visited their store during a two-week period from 110…
Linear Regression
Statistics
R
For this project, we used
linear regression
to model
housing prices in San Luis Obsipo
, California (SLO). We created a dataset by randomly selecting data from Zillow ourselve…
Survival Analysis
Statistics
R
For this project we perform
survival analysis
techniques on data from a balance test that was conducted by the US Center for Disease Control (CDC). More specifically, the…
Multi-level and Mixed Modeling
Statistics
R
In this project, using a
linear mixed-effects model
to answer what factors are most associated with higher or lower point totals in the English Premier League (EPL). We also…
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