机器学习算法数据集分类的相关内容

[帮助文档] 机器学习线性支持向量机算法组件的配置及示例_人工智能平台 PAI(PAI)

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。

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1.机器学习算法（六）基于天气数据集的XGBoost分类预测本项目链接：https://www.heywhale.com/home/column/64141d6b1c8c8b518ba97dcc1.1 XGBoost的介绍与应用XGBoost是2016年由华盛顿大学陈天奇老师带领开发的一个可扩展机器...

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机器学习算法（五）：基于企鹅数据集的决策树分类预测本项目链接：https://www.heywhale.com/home/column/64141d6b1c8c8b518ba97dcc1 逻决策树的介绍和应用1.1 决策树的介绍决策树是一种常见的分类模型，在金融风控、医疗辅助诊断等诸多行业具有较为广...

机器学习算法（二）: 基于鸢尾花数据集的朴素贝叶斯(Naive Bayes)预测分类

机器学习算法（二）: 基于鸢尾花数据集的朴素贝叶斯(Naive Bayes)预测分类项目链接参考：https://www.heywhale.com/home/column/64141d6b1c8c8b518ba97dcc1. 实验室介绍1.1 实验环境1. python3.7 2. numpy &g...

怎么用python机器学习的KNN算法实现对鸢尾花数据集的分类？求详细代码

【人工智能】机器学习之使用Python生成ID3决策树及使用sklearn的决策树算法对葡萄酒数据集进行分类

❤❤❤ID3算法✅✅决策树的思想：给定一个集合，其中的每个样本由若干属性表示，决策树通过贪心的策略不断挑选最优的属性。常见的决策树算法有ID3,C4.5,CART算法等。ID3算法： baseEntropy = self.calcShannonEnt(dataset) # 基础熵 num = len...

【人工智能】机器学习及与智能数据处理Python使用朴素贝叶斯算法对垃圾短信数据集进行分类

朴素贝叶斯算法输入：样本集合D=｛(x_1,y_1),(x_2,y_2)~(x_m,y_m); 待预测样本x; 样本标记的所有可能取值｛c_1,c_2,c_3~c_k｝; 样本输入变量X的每个属性变量X^i的所有可能取值｛a_i1,a_i2,~,a_iAi｝；输出：待预测样本x所属的类别 1.计算标...

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