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白话大数据与机器学习源代码

#第八章线性回归 ##最小二乘法 least_square.py ##残差分析 residual_analysis.py ##非线性最小二乘法 non-linear_least_squares.py

#第九章聚类 ##k-means k-means.py ##层次聚类 hierarchical_clustering.py ##密度聚类 dbscan.py ##聚类评估 clustering_tendency.py ##簇数确定 elbow_method.py ##测定聚类质量 silhouette_coefficient.py

#第十章分类 ##朴素贝叶斯和疾病预测 naive_bayes_gaussian.py ##决策树 info.py ##随机森林 random_forest_classifier.py ##隐马尔可夫模型 hidden_markov_model.py ##遗传算法 背包问题 genetic1.py ##遗传算法 极大值问题 genetic2.py

#第十四章 ##文本分类 naive_bayes_multinomial.py ##k近邻 k_neighbors.py ##svm svm_classification.py

#sql部分 sql.txt

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