WDMAP6

Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。(Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.)

分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)

周志华 机器学习 第三章 python 参考答案(Zhou Zhihua machine learning third chapter Python reference answer)

主要是对二手房房价的因变量房价和其相关的因变量之间的关系进行简单的描述统计分析(Mainly for the second-hand house price dependent variable housing prices and its related variables of the relationship between the simple description of statistical analysis)

算法分析中的贪心算法的实现,并有完整的测试数据()

资源描述实现基本的pagerank算法，可实现传递阻尼参数和迭代次数。源文件从文件中读取

PCA 数据降维 PTYTHON 数据分析/挖掘(PCA dimensionality reduction data mining/analysis)

此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码(optics data mining)

脉动风速功率谱估计,并与标准风谱进行对比()

说明：  自动生成Excel表格，包括测量系统分析MSA GR&R--均值极差法 ,方差分析，均值极差(Automatic generation of Excel tables, including measurement system analysis MSA GR&R - mean extreme difference method, variance analysis, mean extreme difference)