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Hello, I’m Brad!

I design, develop, and deploy algorithmic processes, solutions, and tools. This output can span from productionized machine learning models, deployed Python and R packages, to data science educational resources. Some of my public offerings include:

  • 📌 Curated data science resources 🔗
  • 📚 Books on data science 🔗
  • 📝 Academic publications 🔗
  • 🏫 Educational workshops & class resources 🔗
  • 🗣 Presentations 🔗


  1. A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)

    467 101

  2. Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

    CSS 197 78

  3. Advanced Python for Data Science Workshop

    Jupyter Notebook 11 1

  4. Variable Importance Plots (VIPs)

    R 153 18

  5. Intermediate Python for Data Science Workshop

    Jupyter Notebook 21 3

  6. rstudio::conf(2020) deep learning workshop

    HTML 144 81

327 contributions in the last year

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Mon Wed Fri

Contribution activity

January 2022

Created a pull request in uc-python/advanced-python-datasci that received 1 comment

Initialize Case study with ML content

This creates the case study and case study solutions notebooks and adds in questions and solutions for the ML portion of the case study.

+2,534 −0 1 comment
Opened 2 other pull requests in 1 repository
uc-python/advanced-python-datasci 2 merged

Created an issue in uc-python/advanced-python-datasci that received 2 comments

Opened 1 other issue in 1 repository
uc-python/advanced-python-datasci 1 open
16 contributions in private repositories Jan 4 – Jan 14

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