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前言
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第一章 绪论
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<li class="chapter " data-level="1.2.1" data-path="../Chapter1/为什么要数据挖掘.html">
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1.1:为什么要数据挖掘
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1.2: 什么是数据挖掘
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1.3:数据挖掘主要任务
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第二章 数据探索
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2.1:数据与属性
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2.2:数据的基本统计指标
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2.3:数据可视化
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2.4:相似性度量
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第三章 数据预处理
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3.1:为什么要数据预处理
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3.2:标准化
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3.3:非线性变换
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3.4:归一化
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3.5:离散值编码
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3.6:生成多项式特征
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3.7:估算缺失值
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第四章 k-近邻
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4.1:k-近邻算法思想
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4.2:k-近邻算法原理
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4.3:k-近邻算法流程
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4.4:动手实现k-近邻
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4.5:实战案例
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第五章 线性回归
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5.1:线性回归算法思想
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5.2:线性回归算法原理
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5.3:线性回归算法流程
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5.4:动手实现线性回归
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5.5:实战案例
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第六章 决策树
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6.1:决策树算法思想
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6.2:决策树算法原理
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6.3:决策树算法流程
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6.4:动手实现决策树
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6.5:实战案例
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第七章 k-均值
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7.1:k-均值算法思想
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7.2:k-均值算法原理
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7.3:k-均值算法流程
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7.4:动手实现k-均值
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7.5:实战案例
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第八章 Apriori
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8.1:Apriori算法思想
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8.2:Apriori算法原理
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8.3:Apriori算法流程
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8.4:动手实现Apriori
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8.5:实战案例
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第九章 PageRank
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9.1:PageRank算法思想
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9.2:PageRank算法原理
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9.3:PageRank算法流程
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9.4:动手实现PageRank
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9.5:实战案例
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第十章 推荐系统
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10.1:推荐系统概述
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10.2:基于矩阵分解的协同过滤算法思想
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10.3:基于矩阵分解的协同过滤算法原理
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10.4:基于矩阵分解的协同过滤算法流程
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10.5:动手实现基于矩阵分解的协同过滤
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10.6:实战案例
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