搜索资源列表
svm_series
- 用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。-SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.
日常运动数据分析
- 用anaconda内部的科学库进行分析运动数据，并能对数据进行分类。(Anaconda's internal science library is used to analyze the motion data and to classify the data.)
python
- 实现libsvm的python代码实现,这是最新的python实现的开源代码，可以结合anaconda使用(can achieve libsvm's function)
DecisionTree
- 利用Anaconda编写的决策树，可用于分类(This decision tree algorithm which is used for classification coded by Anaconda.)
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)