Title: machine_learning_mastery_with_r_code Download
  • Category:
  • AI-NN-PR
  • Platform:
  • R language
  • File Size:
  • 110KB
  • Update:
  • 2017-07-30
  • Downloads:
  • 0
  • Uploaded by:
  • djan
 Description: r programming machine learning
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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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