搜索资源列表
sklearn
- svm分类，良好的分类效果，具有参考应用意义(SVM Classification, good classification effect, with reference application significance)
7.支持向量机
- python中的sklearn的SVM实例演练代码，立刻熟悉SVM的使用过程以及参数调整(Sklearn's SVM instance drill code in python, immediately familiar with the use of SVM and parameter tuning)
main.py
- 人工神经网络入门 artificial neural network 使用sklearn 包实现分类图片，可用于手写数字识别(artificial neural network Using sklearn packet to achieve classification, can be used for handwritten numeral recognition)
scikit_learn-0.19.1-cp27-cp27m-win32.whl
- sklearn，机器学习算法，用于创建算法模型以及预处理数据(Sklearn, a machine learning algorithm, is used to create a model of the algorithm and data preprocessing)
47016
- SKLearn 的ＳＶＣ工具包，用于测试训练样本集的练习(The tools for SKLearn SVC)
handson-ml-master
- Hands-On.Machine.Learning.with.Scikit-Learn.and.TensorFlow
sklearn
- sklearn是基于numpy和scipy的一个机器学习算法库，设计的非常优雅，它让我们能够使用同样的接口来实现所有不同的算法调用(Sklearn is a machine learning algorithm library based on numpy and SciPy, which is designed so elegant that it allows us to use the same interface to implement all the different algori
DCT
- 机器学习的决策树，通过调用sklearn中的函数完成，同时可以对txt文件中的数据集进行分类(Decision Tree,machine learning,separate the dataset in txt files.)
DT
- 调用于sklearn平台的决策树算法，有着较好的分类能力(The decision tree algorithm used in sklearn platform has good classification ability)
K-Nearest Neighbor Classifier
- 调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)
GBDT
- 调用于sklearn平台的梯度提升决策树算法，有着较好的分类能力(The GBDT algorithm used in sklearn platform has good classification ability)
SMO 算法实现线性 SVM 分类器，对 iris 数据集进行二分类
- 不使用sklearn库，手写实现SMO算法线性 SVM 分类器，对 iris 数据集进行二分类