资源列表
SVD.m
- 利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)
Boosting
- 分类，用于对数据进行归类。把数据按照不同的属性进行归类，并且使归类的精确度越高越好。(Classification; used to classify data. Classify data according to different attributes, and make the accuracy of classification better.)
KNN，SVM，决策树，朴素贝叶斯
- 用python的sklearn包分类 简单的对数据进行分类(Sort with Python's sklearn package Simple classification of data)
统计建模于R
- 基于R语言的建模，结合例子的代码实现，包括假设检验与各种统计量的计算(Based on the R language modeling, combined with the code implementation of the example, including the hypothesis test and the calculation of various statistics)
粗糙集
- 主要用于计算集合p的q正域等等粗糙集基本量。。。。。。。。。。。。。。。。。。。。。(Mainly used to calculate the set of P Q positive field)
kmeans
- 对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
cc
- 可以执行矩阵的相关性子矩阵挖掘，代码开始部分的备注里包含实例矩阵，大家可以实验看看，代码原创，实验可以，但是如果用在商业或者学术里，请和我联系~(Relative matrix mining of matrices can be performed)
天气爬虫
- 爬取各个地区近8年的天气历史数据，大家可以帮忙看看还有什么可以优化的。(Climb the historical weather)
House_price
- 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 descr iption of statistical analysis)
GAM
- 主要利用R语言进行广义加法模型，进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)
广义线性模型
- 这种模型是把自变量的线性预测函数当作因变量的估计值(The model takes the linear prediction function of the independent variable as the estimate of dependent variable)
方差分析
- 方差分析又称“变异数分析”，是R.A.Fisher发明的，用于两个及两个以上样本均数差别的显著性检验(ANOVA, also called variance analysis, was invented by R.A.Fisher, which was used to test the significance of the mean difference between two and more than two samples)