A package to make streamplots

Introductory Workshop to (Bayesian) Statistics

Grammar of graphics extensions to 'ggplot2'

Advanced causal inference and research design course

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

Digital Signals Theory book and source materials

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Python package to generate and analyze musical scales.

Codes for the book "Julia for Data Analysis"

Download scrobble history from Last.fm.

Version, share, deploy, and monitor models

Additional functions for model tuning

High-Level Modeling Functions with 'torch'

Statistical Rethinking course winter 2022

🔮 Full RStudio IDE and Syntax Themes

A tutorial for the Julia language inspired by the Python tutorial

Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

A Python package for teaching and learning Fundamentals of Music Processing (FMP)

🎈 Simple reactive notebooks for Julia

Lectures for INFO8004 Advanced Machine Learning, ULiège

Tools for post-processing class probability estimates

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

A data visualization curriculum of interactive notebooks.

Informações para quem trabalha ou quer trabalhar remoto

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

Modern C++ Cheatsheet

R Package for Music Creation

A common format and repository for various recommender datasets.