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study_example
- 给出了《Python编程金典》第8章到第十章的编程实例，对学习Python的类和GUI编程很有帮助-Gives the " Python Code Jindian" Chapter 8 to chapter programming examples for learning Python classes and GUI programming helpful
chapter2
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
chapter3
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,Python source book, allowing readers to better learning Python language,
chapter4
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
chapter5
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
chapter6
- Python书籍的源码，让读者更好的学习Python语言，-Python source book, allowing readers to better learning Python language,
python
- [Python学习手册(第4版)].源代码-Learning Python 4th Edition (September, 2009). Here, you will find one text file per book chapter, containing all the source code in that chapter. Almost all the code in this book is short code snippets shown runn
NumPy-Beginners-Guide
- NumPy Beginner’s Guide - Second Edition的源码（《Python数据分析基础教程，munpy学习指南（第二版）》），有助于学习numpy。-NumPy Beginner s Guide- Second Edition source code ( Python data analysis based tutorial, munpy Study Guide (Second Edition) ), contribute to learning numpy.
KNNpython
- python实现的k-近邻算法，用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
diveIntoPython
- Dive Into Python 的中英文版及源码，很好的入门学习资料。-<Dive Into Python> English and Chinese version of the source code, a good entry learning materials.
DeepLearningTutorials-master-theano
- theano官网deep learning教程的python源码，包括所用的数据集。-theano official website of deep learning tutorial python source code, including the use of data sets.
K-proximity-algorithm
- 机器学习K临近算法python代码，整个工程都有，直接可以运行。-Machine learning algorithm K near the python code, the entire project has a direct run.
Ch03
- Python 机器学习与实战 第三章 决策树分类问题-Python Machine Learning and practical decision tree classification Chapter III
mechine-learning
- 本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。 全书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效的可复用Python代码来阐释如何处理统
machinelearninginaction
- 机 器 学 习 实 战 源 码(Machine learning combat source)
svmMLiA
- 机器学习实战的SVN源码，适合用python学习机器学习算法的伙伴。(Machine learning combat SVN source code, suitable for Python learning machine learning algorithm partners.)
python learning the hard way
- learning python the hard way 的手打源码(the Source code of "learning python the hard way")
Machine_learning
- 源码，机器学习,共十章，经典书籍。。。。(python Source code, machine learning, a total of ten chapters, classic books)
reinforcement-learning-an-introduction-master
- sutton强化学习书籍python源码(The codes of the book named Reinforcement Learning:An Introduction written by sutton.)