资源列表
iris and pima
- 经典的机器学习数据集合,是机器学习入门的必备数据集合之一(A classic collection of machine learning data, one of the must-have data sets for getting started with machine learning)
python数据分析 韩波
- 一本python数据分析的优秀资料 《python数据分析》(python data analysis),作者【印尼】Ivan Idris,翻译:韩波。 本人制作的PDF图书,带目录和书签。 作为一种高级程序设计语言,Python凭借其简洁、易读及可扩展性日渐成为程序设计领域备受推崇的语言。同时,Python语言的数据分析功能也逐渐为大众所认可。, 本书是一本介绍如何用Python进行数据分析的学习指南。全书共12章,从Python程序库入门、NumPy数组、matplotlib和pa
小波包能量谱
- 用于信号特征提取,提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
oor-Classification-Classification
- BP网络的应用: BP神经网络用于分类与回归, 使用matlab打开(Application of BP Network: BP Neural Network is used for Classification and regression, matlab is used to Open)
多重分形去趋势波动分析模型
- 用于不同时间序列的重分形交叉相关性分析的多重分形去趋势交叉相关模型,整合了多重分形去趋势交叉相关系数于其中(A multifractal de-trend cross-correlation model for multifractal cross-correlation analysis of different time series is proposed, in which multifractal de-trend cross-correlation coefficients are
MF-DFA-master
- 多重分形去趋势波动分析法,用于不同时间序列的重分形交叉相关性分析。(Multifractal detrended fluctuation analysis)
LDA_ FDA_with_tutorial
- LDA降维是常用的降维手段之一,是常用的有监督学习降维工具。这个文件对其产生W后的使用进行了简要说明,使用W进行最终的降维可以得到十分漂亮的分析结果(在数据分布符合假设分析的情况下。)(LDA dimension reduction is one of the commonly used dimensionality reduction methods. It is a commonly used supervised learning dimensionality reduction tool
MATLAB_SMOTE
- SMOTE插值算法,补全数据的不平衡性。(SMOTE interpolation algorithm to complete the imbalance of data.)
Stacking
- Staking算法,模型融合的一种算法,可以取得比任意用于融合的模型都更好的效果(Staking algorithm, an algorithm for the integration of the model, you can achieve better than any model for the integration of the effect)
apriori
- apriori算法,matlab,大数据挖掘(The libsvm used for handwritten digit recognition, data uci . You can go to uci datasets sites directly download semeion.data. The data can be called directly after putting into the folder.)
gfftogenebank
- 转换GFF文件to genbank格式文件。(Convert GFF files to genbank format files.)
ts
- 文本情感分析,对评论进行积极向以及消极向计分,判断评论文本情感极性。(sentiment analysis,comment score.)