My .Rprofile set-up

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

A financial agent for investment research

An AI Hedge Fund Team

R Weekly

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

A complete Lossless and Hi-Res music downloader for Qobuz

A collection of hacks, mods, tools, tips & tricks, specifically focused on the reMarkable 2

🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps

Travelling Salesman problem on real geographic locations

Traveling salesman with simulated annealing, R, and Shiny

A curated list of projects related to the reMarkable tablet

additional functionality via binary patching

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Concept maps for all things data science

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.

Code and plots for submissions to the #tidytuesday challenge

The Leek group guide to data sharing

A repository that houses example code, applications and teaching material related to QuantEcon

Code from live exploratory analyses of data in R

The QuantLib C++ library

Official repo for the #tidytuesday project

Entries for tidytuesday

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Supporting resources for "Learn Azure in a Month of Lunches" (Manning Publications)

CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒