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机器学习实战

于 2021-02-21 发布
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说明：  机器学习实战中文英文pdf+数据集+代码(Practice of machine learning)

文件列表：

Machine-Learning-in-Action-master, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.1.py, 2547 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.2.1.py, 1955 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.2.2.py, 6095 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.2.3.py, 2875 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.2.4.py, 5630 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.2.5.py, 5337 , 2020-02-05
Machine-Learning-in-Action-master\Ch02-KNN\2.3.2.py, 3022 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.2.1-1.py, 2296 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.2.1-2.py, 4861 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.2.2.py, 6980 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.3.py, 13069 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.4.py, 8011 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.5.1.py, 626 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.5.2.py, 518 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.6.2-1.py, 1365 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.6.2-2.py, 1786 , 2020-02-05
Machine-Learning-in-Action-master\Ch03-DecisionTree\3.6.2-3.py, 2320 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.7.1.py, 2622 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.7.2.py, 4272 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.7.3.py, 4387 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.8.1.py, 1801 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.8.2.py, 9564 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.9.1.py, 1558 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.9.2-1.py, 3677 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.9.2-2.py, 5510 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.9.2-3.py, 7586 , 2020-02-05
Machine-Learning-in-Action-master\Ch04-NaiveBayes\4.9.2-4.py, 7299 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.4.1.py, 2606 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.4.2.py, 2460 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.4.3.py, 4086 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.4.4.py, 4297 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.4.5.py, 6763 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.5.2-1.py, 3270 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.5.2-2.py, 3076 , 2020-02-05
Machine-Learning-in-Action-master\Ch05-Logistic\5.6.py, 1353 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM\6.3.py, 7623 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM\6.4.py, 11636 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM\6.5.1.py, 1591 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM\6.5.2.py, 13616 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM\6.6.py, 170 , 2020-02-05
Machine-Learning-in-Action-master\Ch06-SVM\6.7.py, 2705 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.3.1.py, 1506 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.3.2.py, 3697 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.4.1.py, 5141 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.4.2.py, 6479 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.5.py, 6291 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.6.py, 1440 , 2020-02-05
Machine-Learning-in-Action-master\Ch07-AdaBoost\7.8.py, 7149 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.2.1.py, 1513 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.2.2.py, 2170 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.2.3.py, 1589 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.3.py, 4174 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.4.py, 4611 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.5.1.py, 3257 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.5.3.py, 4046 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.6.1.py, 3130 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.6.2-1.py, 4908 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.6.2-2.py, 8240 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.6.2-3.py, 6034 , 2020-02-05
Machine-Learning-in-Action-master\Ch08-Regression\8.7.py, 3473 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees, 0 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.3.py, 802 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.4.1.py, 1205 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.4.2.py, 3493 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.4.3.py, 4324 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.4.4.py, 1429 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.4.5.py, 4323 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.5.1-1.py, 1436 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.5.1-2.py, 4291 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.5.2.py, 7136 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.6.1.py, 1435 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.6.2.py, 5049 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.7.1.py, 1450 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.7.2.py, 6215 , 2020-02-05
Machine-Learning-in-Action-master\Ch09-Regression Trees\9.8.py, 2908 , 2020-02-05
Machine-Learning-in-Action-master\Machine Learning in Action.pdf, 6896910 , 2020-02-05
Machine-Learning-in-Action-master\README.md, 3285 , 2020-02-05
Machine-Learning-in-Action-master\机器学习实战.pdf, 10671473 , 2020-02-05
Machine-Learning-in-Action-master\机器学习实战总目录.md, 2431 , 2020-02-05
Machine-Learning-in-Action-master\机器学习实战数据集.zip, 17370427 , 2020-02-05

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    2020-06-23 08:00:01下载
    积分：1
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    2018-08-20 10:05:48下载
    积分：1
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    2019-01-14 20:43:57下载
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    2018-05-11 20:06:44下载
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    时间序列法，通过过去数据来建立相应模型来预测未来数据(Time series, using past data to establish corresponding models to predict future data)
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    说明：  一种无监督的聚类算法，基于密度聚类，名称为基于快速搜索与寻找密度峰值的聚类(Clustering by fast search and find of desity peaks)
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    用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)
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    积分：1
  • LZYSAD
    雷达数据处理的重要模型算法之一,该代码对imm算法的不同参数下进行了详细的仿真,(One of the important model algorithms for radar data processing, the code simulates the IMM algorithm in detail under different parameters.)
    2018-09-06 13:02:17下载
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  • Python数据预处理
    说明：  Python数据预处理示例，包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)
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    2021-04-16 15:08:53下载
    积分：1
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