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

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A collection of various deep learning architectures, models, and tips

💿 Free software that works great, and also happens to be open-source Python.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Toturials coming with the "data science roadmap" picture.

TensorFlow documentation

Notebooks for learning deep learning

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Learn python3 in one picture.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Python-based tools for document analysis and OCR

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Coursera Machine Learning - Python code

Code samples of LoginRadius Engineering Blog

This repo contains my journey taking the "Deep Learning Nanodegree" with Udacity!!

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