Examples and guides for using the OpenAI API

FinOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.

Matplotlib tutorial for beginner

A curated list of awesome Machine Learning frameworks, libraries and software.

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

GCP-Data-Engineer-Study-Guide

ETL pipeline on GCP

A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

fast.ai Courses

Repository for the Zero to Deep Learning® Video Course

Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)

HackOn(Data) Challenges

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Jupyter metapackage for installation and documentation

Answers to challenge questions.

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PC…

A solution for determining the most optimal placement of location-based information signs throughout Toronto.

Apache Spark training material

Code samples for Elixir in Action book

Please visit https://github.com/h2oai/h2o-3 for latest H2O

PySpark + Scikit-learn = Sparkit-learn

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

a plot device

Introduction to Statistics using Python

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

A topic-centric list of HQ open datasets.