David Mullin's starred repositories
free-programming-books
:books: Freely available programming books
ar-cutpaste
Cut and paste your surroundings using AR
azure-quickstart-templates
Azure Quickstart Templates
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
just-pandas-things
An ongoing list of pandas quirks
numerical-tours
Numerical Tours of Signal Processing
climate-change-data
:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change
awesome-data-engineering-learning
Awesome list of data engineering learning materials by subject
safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
rest-api-samples
Samples for the Tableau REST API
IntroToDataScience
GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.
shinyalert
🗯️ Easily create pretty popup messages (modals) in Shiny
renovate-ce-ee
Mend Renovate Documentation & Examples
domo-python-sdk
Python3 - Domo API SDK
Veracode-Community-Projects
Collection of open source projects that include automation of common Veracode Platform tasks, new integrations, HMAC signing libraries, etc
demo-project
A little project you can use to test Ponicode
datafordemocracy.org
Our public-facing website!
check-whether-a-Orthopedic-patients-is-Normal-or-Abnormalnot
KNN :K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both classification as well as regression predictive problems. However, it is mainly used for classification predictive problems in industry. The following two properties would define KNN well − Lazy learning algorithm − KNN is a lazy learning algorithm because it does not have a specialized training phase and uses all the data for training while classification. Non-parametric learning algorithm − KNN is also a non-parametric learning algorithm because it doesn’t assume anything about the underlying data
machine-learning-beginners-repo
Introductory repository showcasing basic ML algorithms