Explore live open-source projects and AI models.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

良心的 Python 教程，面向零基础初学者简明易懂的 Python3 入门基础课程。在linux+vim生产力环境下，从浅入深，从简单程序学到网络爬虫。可以配合蓝桥云上实验环境操作。

”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正

This repository helps you learn Python and Machine Learning from scratch.

Source Code for the book Building Machine Learning Systems with Python

Python library for portfolio optimization built on top of scikit-learn

Using python and scikit-learn to make stock predictions

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Genetic Programming in Python, with a scikit-learn inspired API

Learning Python: from Beginner to Master. https://lqlab.readthedocs.io