Compilation of R and Python programming codes on the Data Professor YouTube channel.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

【运筹OR帷幄|数据科学】pandas教程系列电子书

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Data-Driven Exploration of the R Community

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Train multi-task image, text, or ensemble (image + text) models

The blog post about Kubeflow, including all materials

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

GitHub Action for repo2docker

An OCaml kernel for Jupyter (IPython) notebook

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

A day to day plan for this challenge. Covers both theoritical and practical aspects

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

A repository to keep track of all the code that I end up writing for my blog posts.

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Learning numerical computing with notebooks for all ages.

A community run, 5-day PyTorch Deep Learning Bootcamp