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Python - 100天从新手到大师
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The fastai book, published as Jupyter Notebooks
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python programs, usually short, of considerable difficulty, to perfect particular skills.
💿 Free software that works great, and also happens to be open-source Python.
📡 Simple and ready-to-use tutorials for TensorFlow
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
The "Python Machine Learning (1st edition)" book code repository and info resource
《Python Cookbook》 3rd Edition Translation
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
TensorFlow Tutorials with YouTube Videos
Deep Learning Specialization by Andrew Ng on Coursera.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Plain python implementations of basic machine learning algorithms
Content for Udacity's Machine Learning curriculum
Jupyter notebooks from the scikit-learn video series
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Tutorial on scikit-learn and IPython for parallel machine learning
Machine learning algorithms implemented by pure numpy
