bradleyboehmke

data-science-learning-resources

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

harrypotter

An R Package for the Harry Potter Book Series

completejourney

An R data 📦 of retail shopping transactions for 2469 households over one year

xgboost_databricks_tuning

bradleyboehmke

unit-testing-r

Contains simple examples and discussion around unit testing in R

uc-bana-4080

Additional resources for the UC BANA 4080 Data Mining course

modeldata

Data sets useful for teaching machine learning

uc-bana-7025

Additional resources for the UC BANA 7025 Data Wrangling course

100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

uc-bana-6043

Additional resources for the UC BANA 6043 Statistical Computing course

analytics-summit-2021

Presentation: Scaling Productivity with an Inner Source Ecosystem

colab

deeplearning-models

A collection of various deep learning architectures, models, and tips

galois-talk

ggplot2-book

ggplot2: elegant graphics for data analysis

HOML-PDF

bad-dad-jokes

A flask app to serve bad dad jokes

clr

An R Keras implementation of Leslie Smith's cyclic learning rate

completejourney_py

A Python 📦 containing retail shopping transaction data for 2469 households over one year

conf_tensorflow_training_day2

TensorFlow training at RStudio::conf(2019)

education.rstudio.com

fastai

The fastai deep learning library, plus lessons and tutorials

intermediate-python-datasci

Intermediate Python for Data Science

intro-python-datasci

Intro to Python for Data Science

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Project-B

Example repo for YouTube video

python-jumpstart-course-demos

Contains all the "handout" materials for my Python Jumpstart by Building 10 Apps course. This includes try it yourself and finished versions of the 10 apps.

python-practice

tibble

A modern re-imagining of the data frame