A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn and PyTorch.

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.

Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data.

Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Python Deep Learning, Third Edition, published by Packt

Code Repository for Machine Learning with PyTorch and Scikit-Learn

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Machine learning in Python with scikit-learn MOOC

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Spark in Action, 2nd edition - chapter 3

Spark in Action, 2nd edition - chapter 2

Spark in Action, 2nd edition - chapter 1 - Introduction

Apache Beam is a unified programming model for Batch and Streaming data processing.

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Supercharge BigQuery with BigFunctions

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Notebooks for the "JAX in Action" book

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

Complete source code (datasets and Jupyter Notebooks) for Pandas In Action

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

Code for the new Manning book on machine learning on tabular datasets

repository of the 3-day course "First steps with Python in Life Sciences" from SIB-training

This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.