Collection of functions to enhance ggplot2 plots with results from statistical tests.

A fast library for AutoML and tuning.

Book on Julia for Data Science

A unified framework for machine learning with time series

R's data.table package extends data.frame:

⚡ TabPFN: Foundation Model for Tabular Data ⚡

scikit-learn: machine learning in Python

12 Lessons to Get Started Building AI Agents

Official repo for the #tidytuesday project

Teaching case studies

Parse files for optimal RAG

Examples and guides for using the OpenAI API

Survival analysis built on top of scikit-learn

A repository of examples using Python AI Agent frameworks that work with GitHub Models and Azure OpenAI.

A website displaying hundreds of charts made with Python

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Scalable and user friendly neural 🧠 forecasting algorithms.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Repository for 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in 2020

The testing framework dedicated to ML models, from tabular to LLMs 🛡️🧑‍🔬

Examples and guides for using the Gemini API

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Scalable machine 🤖 learning for time series forecasting.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

A python library for user-friendly forecasting and anomaly detection on time series.

Julia package for time series forecasting, inspired by R’s forecast package—part of the TAFS Forecasting Ecosystem.

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.

Statistical Rethinking Course 2026

End to end examples of pharmaverse packages for common safety clinical reporting analyses

Modern Time Series Forecasting with Python, published by Packt