This is a repo with links to everything you'd ever want to learn about data engineering

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

Code accompanying the Real-World Machine Learning book

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a container…