Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A game theoretic approach to explain the output of any machine learning model.

Helpers for teaching materials in python at the ENSAE

Jeff Heaton's Kaggle Utilities

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…

❗ This is a read-only mirror of the CRAN R package repository. conformalClassification — Transductive and Inductive Conformal Predictions for Classification Problems

Latent Variable Models in R https://kkholst.github.io/lava/

Run Kubernetes locally

Using pandas for Better (and Worse) Data Science

Numerai Experiments

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Jupyter notebook and datasets from the pandas video series

Fast and flexible AutoML with learning guarantees.

Neural style in TensorFlow! 🎨