Pinned Repositories
Doing-Bayesian-Data-Analysis
MY R code from the book (2nd Edition) by John K. Kruschke
dotfiles
My dotfiles for managing my shell's environment
fifa-career-mode-db
postgres database FIFA soccer stats project run with docker-compose
Generalized-Additive-Models-with-MLB-Statcast
To explore the newer MLB Statcast data and understanding baseball event relationships with generalized additive models (GAMs)
Glassdoor-Topic-Modeling-my-Employer
mooc-work
Code from MOOC platforms and projects on Udemy, Coursera, etc.
predict-march-madness-2019
Stage 2 Predictions for all 2,278 possible game combinations downloaded from my Kaggle Kernel. Run through Bracketeer bracket generator.
Rank-Hospital-Function-R-
Using HHS Dataset to write a R Function to pull the name of a hospital of a given state, for a given disease based on the requested hospital ranking.
Recommender-System-R-Tutorial
Building example collaborative filtering recommender systems with RecommenderLab package in R. Example code is borrowed and modified from the book, "Building a Recommendation System with R", by Suresh K. Gorakala and Michele Usuelli.
SaberSimScraper
Web Scraper to download the daily postings on Fangraphs.com of SaberSim Daily Fantasy Baseball point simulated expectations of Batters, Pitchers.
BrandonHoeft's Repositories
BrandonHoeft/Recommender-System-R-Tutorial
Building example collaborative filtering recommender systems with RecommenderLab package in R. Example code is borrowed and modified from the book, "Building a Recommendation System with R", by Suresh K. Gorakala and Michele Usuelli.
BrandonHoeft/Doing-Bayesian-Data-Analysis
MY R code from the book (2nd Edition) by John K. Kruschke
BrandonHoeft/Glassdoor-Topic-Modeling-my-Employer
BrandonHoeft/SaberSimScraper
Web Scraper to download the daily postings on Fangraphs.com of SaberSim Daily Fantasy Baseball point simulated expectations of Batters, Pitchers.
BrandonHoeft/fifa-career-mode-db
postgres database FIFA soccer stats project run with docker-compose
BrandonHoeft/Generalized-Additive-Models-with-MLB-Statcast
To explore the newer MLB Statcast data and understanding baseball event relationships with generalized additive models (GAMs)
BrandonHoeft/predict-march-madness-2019
Stage 2 Predictions for all 2,278 possible game combinations downloaded from my Kaggle Kernel. Run through Bracketeer bracket generator.
BrandonHoeft/similarity-measures
Example applying linear algebra to calculate similarity between entities.
BrandonHoeft/bayesian-inference
Collections of learning materials that I have worked through, applying Bayesian inference.
BrandonHoeft/dotfiles
My dotfiles for managing my shell's environment
BrandonHoeft/mooc-work
Code from MOOC platforms and projects on Udemy, Coursera, etc.
BrandonHoeft/Advanced-R-Programming
BrandonHoeft/Applied-Predictive-Model-Resampling-Methods---MUTATE-Chaturvedi-2014-
My applied analysis of a novel predictive modeling technique for understanding the bias-variance trade off.
BrandonHoeft/blueline
BrandonHoeft/Clusterwise-Regression-Algorithm
Hybrid machine learning method for optimizing potential multiple populations in a dataset wtih k distinct models for k latent classes.
BrandonHoeft/CSV-to-SQL-from-dual-query
BrandonHoeft/data-Viz-basics-ggplot2
R Code example codebase to share with data science team for common ggplot2 graphs.
BrandonHoeft/dbt-fundamentals
repo with my code for the course at https://courses.getdbt.com/courses/fundamentals
BrandonHoeft/deepdishdata
Repo of analysis notebooks that are underlying content for my website www.deepdishdata.com
BrandonHoeft/flask-udemy
open course flask for beginners udemy
BrandonHoeft/Get-DraftKings-Salary-Data
BrandonHoeft/nhst
A suite of python methods for null hypothesis significance testing using simulation (Bootstrapping, permutation sampling)
BrandonHoeft/predict-march-madness-2018
Google Cloud and NCAA® have teamed up to bring the 2018 version of the Kaggle machine learning competition. The goal will be to develop, train, test predictive models that can help predict the outcomes of the 2018 NCAA tournament.
BrandonHoeft/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
BrandonHoeft/python-functions
Collection of functions for fun and learning, or odds and ends at work.
BrandonHoeft/Rank-All-Hospitals-by-State-R-
BrandonHoeft/Rec-Engine-498
BrandonHoeft/residency-choice
My significant other is interviewing for residency programs after med school. I am collecting data on preferences on a battery of different measures important for weighting ranking decisions. Later, I will analyze the data to hopefully identify interesting insights about the residency interview experiences.
BrandonHoeft/Think-Python
Working through assigned exercises from Think Python by Allen B. Downey
BrandonHoeft/unittest-example
creating a simple function and then using Python standard library unittest to test the code. My first use of this library