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MachineLearnngInActionandsourceCode
- 机器学习实战及配套Python代码,很好的入门书。-Machine Learning in Action. Source eode and book
learning-data-mining-with-python
- 《python数据挖掘入门与实践》随书源代码,Chapter1-Chapter12.使用ipython notebook运行,包括社会媒体挖掘,作者归属,新闻语料分析,大数据处理等应用实例。-Python data mining entry and practice with the book source code, using Chapter1-Chapter12. IPython notebook operation, including social media mining, aut
CF
- Python实现协同过滤算法,即Collaborative Filtering(CF),数据集为MovieLens电影推荐和书籍推荐数据集-Python implementation of collaborative filtering algorithm, namely Collaborative Filtering (CF), the data set is recommended MovieLens movie and book recommendations datasets
MachineLearningInaction
- 本文件中的内容是《机器学习实战》这本书中的代码,语言采用的是python。(The content of this document is the code in this book "machine learning combat"and the language of code is Python.)
Python数据分析与挖掘实战
- 本书共15章,分两个部分:基础篇、实战篇。基础篇介绍了数据挖掘的基本原理,实战篇介绍了一个个真实案例,通过对案例深入浅出的剖析,使读者在不知不觉中通过案例实践获得数据挖掘项目经验,同时快速领悟看似难懂的数据挖掘理论。读者在阅读过程中,应充分利用随书配套的案例建模数据,借助相关的数据挖掘建模工具,通过上机实验,以快速理解相关知识与理论。(There are 15 chapters in this book, which are divided into two parts: the basic c
