资源列表
机器学习实战
- 《机器学习实战》书籍的电子版，使用Python语言编程(Machine Learning in Action)
Kaggle_Mercedes_Benz
- kaggle 梅赛德斯奔驰比赛 top 3% 源码(Kaggle Mercedes Benz competition top3 solution)
liblinear-2.0
- Libsvm和Liblinear都是国立台湾大学的Chih-Jen Lin博士开发的，Libsvm主要是用来进行非线性svm 分类器的生成，提出有一段时间了，而Liblinear则是去年才创建的，主要是应对large-scale的data classification，因为linear分类器的训练比非线性分类器的训练计算复杂度要低很多，时间也少很多，而且在large scale data上的性能和非线性的分类器性能相当，所以Liblinear是针对大数据而生的。(Libsvm and Libli
Kaggle_Russian_Housing_Market
- kaggle 俄罗斯房价预测 top2% 解决方案(Kaggle Russian Housing Market price predict top2% solution)
NaiveBayesSpamFilter-master
- 利用朴素贝叶斯算法实现垃圾邮件的过滤，并结合Adaboost改进该算法(spam filter using Adaboost and Navie bayesian)
JBDE
- 差分进化算法(Differential evolution algorithm)
Ch03
- 本程序用Python语言实现决策树算法，供大家学习，交流使用。(This program uses Python language to achieve decision tree algorithm, for everyone to learn, exchange use.)
cluster
- 对数据的一种聚类归类算法，内容理解较为简单(A clustering classification algorithm for data, content understanding is relatively simple)
uhhcq
- Several new methods sar image denoising, Is a practical method of path planning, Mutual information is useful to calculate a set of procedures.
算法
- 数据结构的常见C语言编写方法,用结构体编写(TThe common C language of data structure is written in structure)
Final Program after-Chapters
- Simon Haykin的神经网络与机器学习课后习题的MATLAB源程序(Simon Haykin neural network and machine learning after-school exercises MATLAB source program)
circle
- Example of application of Genetic Algorithms to find the biggest circle that doesn't contain any star