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105-project

30daychartchallenge_collection2021

Collection of contributions to and resources for the first #30DayChartChallenge in April 2021

alibi

Algorithms for explaining machine learning models

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

awesome-mlops

A curated list of references for MLOps

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

bigbookofr

The biggest collection of R books (and maybe later some other resources too)

books

This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

change-tutorial

Materials for the useR2017 tutorial on changepoint detection

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

empirica

Ryo's empirica advisors website

etch-a-sketch

google-homepage

holstee-manifesto

how-to-prevent-scraping

The ultimate guide on preventing Website Scraping

hsbm_topicmodel

Using stochastic block models for topic modeling

job-assistant

jupyter

Jupyter metapackage for installation, docs and chat

learn_ruby

a basic ruby class generated from test-first-teaching

leticiahan.github.io

madewithml

Learn how to responsibly deliver value with ML.

mastering_shiny_book_solutions

https://mastering-shiny-solutions.org

mlplatform-workshop

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

outlierconf2021

⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rstudio-conf

Materials for rstudio::conf

rvest

Simple web scraping for R

rxjs

The Reactive Extensions for JavaScript