文件名称:machine_learning_mastery_with_r_code

  • 所属分类:
  • 人工智能/神经网络/遗传算法
  • 资源属性:
  • 上传时间:
  • 2017-07-30
  • 文件大小:
  • 110kb
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  • 0次
  • 提 供 者:
  • dja***
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r programming machine learning
相关搜索: machine
language
machine
learning

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下载文件列表

machine_learning_mastery_with_r_code

machine_learning_mastery_with_r_code\.DS_Store

machine_learning_mastery_with_r_code\1-AnalyzeData

machine_learning_mastery_with_r_code\1-AnalyzeData\.DS_Store

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData\datasets-mlbench.R

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData\datasets_appliedpredictivemodeling.R

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData\datasets_datasets.R

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData\iris.csv

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData\load_csv_file.R

machine_learning_mastery_with_r_code\1-AnalyzeData\1-LoadData\load_csv_url.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\class_distribution.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\correction_spearman.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\correlation_pearson.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\data_types.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\dimensions.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\peek.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\skewness.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\standard_deviation.R

machine_learning_mastery_with_r_code\1-AnalyzeData\2-DataSummarization\summary.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\1-Univariate

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\1-Univariate\barplot.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\1-Univariate\boxplot.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\1-Univariate\density_plot.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\1-Univariate\histogram.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\1-Univariate\missing_plot.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\2-Multivaraite

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\2-Multivaraite\boxplot_by_class.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\2-Multivaraite\correlation_plot.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\2-Multivaraite\density_plot_by_class.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\2-Multivaraite\scatterplot_matrix.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\2-Multivaraite\scatterplot_matrix_by_class.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\3-Projection

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\3-Projection\andrews_curves.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\3-Projection\parallel_coordinates.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\3-Projection\pca.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\3-Projection\sammons.R

machine_learning_mastery_with_r_code\1-AnalyzeData\3-DataVisualization\3-Projection\som.R

machine_learning_mastery_with_r_code\2-PrepareData

machine_learning_mastery_with_r_code\2-PrepareData\.DS_Store

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning\impute_missing_values.R

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning\mark_missing_values.R

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning\rebalance_SMOTE.R

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning\remove_duplicates.R

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning\remove_na.R

machine_learning_mastery_with_r_code\2-PrepareData\1-DataCleaning\remove_outliers.R

machine_learning_mastery_with_r_code\2-PrepareData\2-FeatureSelection

machine_learning_mastery_with_r_code\2-PrepareData\2-FeatureSelection\rank_features_by_importance_caret.R

machine_learning_mastery_with_r_code\2-PrepareData\2-FeatureSelection\recursive_feature_elimination_caret.R

machine_learning_mastery_with_r_code\2-PrepareData\2-FeatureSelection\remove_highly_correlated_features_caret.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\boxcox_transform.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\center.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\ica_transform.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\normalize.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\pca_transform.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\scale.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\standardize.R

machine_learning_mastery_with_r_code\2-PrepareData\3-TransformData\yeojohnson_transform.R

machine_learning_mastery_with_r_code\3-Algorithms

machine_learning_mastery_with_r_code\3-Algorithms\.DS_Store

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\.DS_Store

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\1-LinearRegression

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\1-LinearRegression\ordinary_least_squares_regression.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\1-LinearRegression\partial_least_squares_regression.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\1-LinearRegression\principal_component_regression.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\1-LinearRegression\stepwise_linear_regression.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\2-PenalizedLinearRegression

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\2-PenalizedLinearRegression\elastic_net.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\2-PenalizedLinearRegression\LASSO.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\2-PenalizedLinearRegression\ridge_regression.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\bagging_CART.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\classification_and_regression_trees.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\conditional_decision_trees.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\cubist.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\feed_forward_neural_network.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\gradient_boosted_machine.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\k-nearest_neighbor.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\M5P.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\M5Rules.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\multivariate_adaptive_regression_splines.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\random_forest.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\3-NonLinearRegression\support_vector_machine.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\4-LinearClassification

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\4-LinearClassification\linear_discriminant_analysis.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\4-LinearClassification\logistic_regression.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\4-LinearClassification\logistic_regression_multiclass.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\4-LinearClassification\partial_least_squares_discriminant_analysis.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication\bagging_CART.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication\C4.5.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication\C5.0.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication\classification_and_regression_trees.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication\feed_forward_neural_network.R

machine_learning_mastery_with_r_code\3-Algorithms\1-Algorithms\5-NonLinearClassiication\flexible_discriminant_analysis.R

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