资源列表
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.)
Ch02
- 本程序用Python语言实现kNN算法，供大家学习，交流使用。(This program uses Python language to achieve kNN algorithm for everyone to learn, exchange use.)
JBDE
- 差分进化算法(Differential evolution algorithm)
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)
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)
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_Mercedes_Benz
- kaggle 梅赛德斯奔驰比赛 top 3% 源码(Kaggle Mercedes Benz competition top3 solution)
cnn-text-classification-tf
- 利用 Tensorflow 构建 CNN 模型实现文本分类(CNN for Text Classification in Tensorflow)
OS-ELM
- 在线ELM的MATLAB代码，可用于目标跟踪，回归分析预测、以及分类。(The MATLAB code of online ELM can be used for target tracking, regression analysis, prediction, and classification.)
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)
louqui_v27
- Various resource allocation algorithm, You can achieve data classification and regression pattern recognition, It draws on principal component analysis algorithm (PCA).
mk115
- A noise auxiliary data analysis method, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.