GitHub - e-tutorials/Practical-Machine-Learning: Notes and code from Practical Machine Learning course slides · GitHub

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Notes and code from Practical Machine Learning course slides

class.coursera.org/predmachlearn-002

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Name		Name	Last commit message	Last commit date
001_AnalyzingSpamDataset.R		001_AnalyzingSpamDataset.R
004_InOutSampleErrors.R		004_InOutSampleErrors.R
010_Carpet Package.R		010_Carpet Package.R
011_Data slicing.R		011_Data slicing.R
012_Training Options.R		012_Training Options.R
013_Plotting predictors.R		013_Plotting predictors.R
014_Basic preprocessing.R		014_Basic preprocessing.R
015_Covariate creation.R		015_Covariate creation.R
016_PreProcessingPCA.R		016_PreProcessingPCA.R
019_PredictingWithTrees.R		019_PredictingWithTrees.R
README.md		README.md

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Notes and code from Practical Machine Learning course slides

class.coursera.org/predmachlearn-002

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