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fastapi-tdd-docker

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

figures

R code for figures on Statistics with R slides

fitter-happier-docker

flask-tdd-docker

flexdashboard

learning flexdashboard

forecasting-methods

A repository containing forecasting methods using R

ggplot2-book

The ggplot2 book

goingmeta

code and resources used in the Going Meta sessions

groovyinaction

Source code of the book Groovy in Action, 2nd edition

gs-spring-boot-docker

Spring Boot with Docker :: Learn how to create a Docker container from a Spring Boot application with Maven or Gradle

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

happy-git-with-r

Using Git and GitHub with R, Rstudio, and R Markdown

here_here

I love the here package. Here's why.

imaugbicep

incubator-groovy

Mirror of Apache Groovy (Incubating)

infer

An R package for tidyverse-friendly statistical inference

interactive_pres_shiny_and_r

This repository contains exercises from the course, "Creating Interactive Presentations with Shiny and R".

ipython_extensions

My IPython extensions

java-react-example

joy-of-fp

Supplemental materials for "The joy of functional programming"

jsm2018_ecosystem

JSM 2018 "An Emerging Ecosystem for Data Science/Statistics Education"

julia

The Julia Language: A fresh approach to technical computing.

juliaboxtutorials

juliacoursenotebooks

Jupyter notebooks for the Julia Scientific Programming course on Coursera

jupyter-themes

Custom Jupyter Notebook Themes

kableextra

Construct Complex Table with knitr::kable() + pipe

knitr_case_studies

Inference case studies in knitr

labs

Labs for Statistics with R Specialization

learning-julia

This repository code and document from my attempt to learn the Julia programming language for scientific computing, numerical analysis, and machine learning.