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‎README.md‎

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##Machine Learning
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##课程
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##Coursera
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####Andrew Ng--Stanford University
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- [Machine Learning](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning-Andrew%20Ng)
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####[机器学习](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning-Andrew%20Ng) -- 吴恩达 -- 斯坦福大学
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####Hsuan-Tien Lin--Taiwan University
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- [Machine Learning Foundations](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Foundations)
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- [Machine Learning Techniques](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Techniques)
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- 课程进度： 100%
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- 作业：
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- [Octave] - 使用Octave，默认版本 100%
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- [Jupyter Notebook](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning-Andrew%20Ng/Jupyter%20Notebook) - 使用numpy,pandas,scikit-learn,matplotlib,tensorflow等库的Python3版 12%
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####机器学习 -- 林軒田 -- 台湾大学
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- [机器学习基石](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Foundations)
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- [机器学习技法](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Techniques)
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##Book Note
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- [Building Machine Learning Systems](https://github.com/xxg1413/MachineLearning/tree/master/Building%20Machine%20Learning%20Systems)
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- [Learning Data Mining with Python](https://github.com/xxg1413/MachineLearning/tree/master/Learning%20Data%20Mining%20with%20Python)
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- [Machine Learning in Action](https://github.com/xxg1413/MachineLearning/tree/master/Machine Learning in Action/)
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- [NumPy Beginner's Guide](https://github.com/xxg1413/MachineLearning/tree/master/NumPy Beginner's Guide/)
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- [Programming Collective Intelligence](https://github.com/xxg1413/MachineLearning/tree/master/Programming Collective Intelligence/)
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- [R for Everyone](https://github.com/xxg1413/MachineLearning/tree/master/R for Everyone/)
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- [Web Scraping with Python](https://github.com/xxg1413/MachineLearning/tree/master/Web Scraping with Python/)
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- [Learning Spark: Lightning-fast Data Analysis](https://github.com/xxg1413/MachineLearning/tree/master/Learning Spark/)
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##Competitions
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- [Kaggle](https://github.com/xxg1413/MachineLearning/tree/master/Kaggle/)
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- [Euler](https://github.com/xxg1413/MachineLearning/tree/master/Euler/)
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##课程
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####吴恩达--斯坦福大学
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####[CS231n: 面向视觉识别的卷积神经网络--Fei-Fei Li & Andrej Karpathy & Justin Johnson -- 斯坦福大学](https://github.com/xxg1413/coursera/tree/master/CS231n:%20Convolutional%20Neural%20Networks%20for%20Visual%20Recognition)
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- [机器学习](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning-Andrew%20Ng)
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- 课程进度： 第2集
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- 作业：
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- 作业1
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- 作业2
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- 作业3
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####林軒田--台湾大学
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- [机器学习基石](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Foundations)
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- [机器学习技法](https://github.com/xxg1413/coursera/tree/master/Machine%20Learning%20Techniques)
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####[机器学习中的神经网络--Geoffrey Hinton-多伦多大学](https://github.com/xxg1413/coursera/tree/master/Neural%20Networks%20for%20Machine%20Learning)
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- 课程进度： Lecture2
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- 作业：
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- Octave - 使用Octave，默认版本
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- Tensorflow 版本
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##读书
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- [机器学习系统设计](https://github.com/xxg1413/MachineLearning/tree/master/Building Machine Learning Systems/)
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- 进度：100%
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- 项目：寻找实际数据练习
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- [机器学习实战](https://github.com/xxg1413/MachineLearning/tree/master/Machine Learning in Action/)
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- 进度：第2章
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- 项目：
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- [Python数据分析基础教程:NumPy学习指南](https://github.com/xxg1413/MachineLearning/tree/master/NumPy Beginner's Guide/)
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- 进度：100%
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- 项目：numpy入门
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- [Python数据挖掘入门与实践](https://github.com/xxg1413/MachineLearning/tree/master/Learning%20Data%20Mining%20with%20Python)
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- 进度：Chapter3
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- 项目：
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- [集体智慧编程](https://github.com/xxg1413/MachineLearning/tree/master/Programming Collective Intelligence/)
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- 进度：100%
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- 项目：使用库重写所有例子
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- [R语言-实用数据分析和可视化技术](https://github.com/xxg1413/MachineLearning/tree/master/R for Everyone/)
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- 进度：100%
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- 项目：
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- [Python网络数据采集](https://github.com/xxg1413/MachineLearning/tree/master/Web Scraping with Python/)
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- 进度：100%
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- 项目：爬虫系统
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##竞赛
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##项目列表
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- Python爬虫:豆瓣书籍
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##项目列表

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