Brandon Hoeft's repositories
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.
Doing-Bayesian-Data-Analysis
MY R code from the book (2nd Edition) by John K. Kruschke
SaberSimScraper
Web Scraper to download the daily postings on Fangraphs.com of SaberSim Daily Fantasy Baseball point simulated expectations of Batters, Pitchers.
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)
predict-march-madness-2019
Stage 2 Predictions for all 2,278 possible game combinations downloaded from my Kaggle Kernel. Run through Bracketeer bracket generator.
similarity-measures
Example applying linear algebra to calculate similarity between entities.
bayesian-inference
Collections of learning materials that I have worked through, applying Bayesian inference.
Applied-Predictive-Model-Resampling-Methods---MUTATE-Chaturvedi-2014-
My applied analysis of a novel predictive modeling technique for understanding the bias-variance trade off.
Clusterwise-Regression-Algorithm
Hybrid machine learning method for optimizing potential multiple populations in a dataset wtih k distinct models for k latent classes.
data-Viz-basics-ggplot2
R Code example codebase to share with data science team for common ggplot2 graphs.
dbt-fundamentals
repo with my code for the course at https://courses.getdbt.com/courses/fundamentals
deepdishdata
Repo of analysis notebooks that are underlying content for my website www.deepdishdata.com
flask-udemy
open course flask for beginners udemy
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.
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 ;)
python-functions
Collection of functions for fun and learning, or odds and ends at work.
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.
Think-Python
Working through assigned exercises from Think Python by Allen B. Downey
unittest-example
creating a simple function and then using Python standard library unittest to test the code. My first use of this library