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支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

机器学习算法（三）：基于horse-colic数据的KNN近邻(k-nearest neighbors)预测分类

机器学习算法（三）：基于horse-colic数据的KNN近邻(k-nearest neighbors)预测分类项目链接参考：https://www.heywhale.com/home/column/64141d6b1c8c8b518ba97dcc1 KNN的介绍和应用1.1 KNN的介绍kNN(k...

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2.4.3 模拟数据集--kNN回归Step1: 库函数导入#Demo来自sklearn官网 import numpy as np import matplotlib.pyplot as plt from sklearn.neighbors import KNeighborsRegressorSte...

机器学习算法：K近邻(k-nearest neighbors)分类实战

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机器学习算法：K近邻(k-nearest neighbors)初探

1 KNN的介绍和应用1.1 KNN的介绍kNN(k-nearest neighbors)，中文翻译K近邻。我们常常听到一个故事：如果要了解一个人的经济水平，只需要知道他最好的5个朋友的经济能力，对他的这五个人的经济水平求平均就是这个人的经济水平。这句话里面就包含着kNN的算法思想。示例：如上图...

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更新时间 2024-02-16 10:22:17

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