GitHub - tpopenfoose/Coursera.MachineLearningWithH2O.Rfiles: R source code files for the Coursera course "Machine Learning with H2O"

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Data		Data
Week01.03Install.upgradeH2OtoLatestVersion.R		Week01.03Install.upgradeH2OtoLatestVersion.R
Week01.04UsingH2O.01quickDeeplearning.R		Week01.04UsingH2O.01quickDeeplearning.R
Week01.04UsingH2O.02autoML.R		Week01.04UsingH2O.02autoML.R
Week02.01TreeAlgorithms.05RandomForestInH2O.R		Week02.01TreeAlgorithms.05RandomForestInH2O.R
Week02.01TreeAlgorithms.06GBMinH2O.R		Week02.01TreeAlgorithms.06GBMinH2O.R
Week02.02ImportingGeneratingAndOverfitting.01ImportingFromClient.R		Week02.02ImportingGeneratingAndOverfitting.01ImportingFromClient.R
Week02.02ImportingGeneratingAndOverfitting.02ArticialDataSets.R		Week02.02ImportingGeneratingAndOverfitting.02ArticialDataSets.R
Week02.02ImportingGeneratingAndOverfitting.04TrainValidTestInH2O.R		Week02.02ImportingGeneratingAndOverfitting.04TrainValidTestInH2O.R
Week02.02ImportingGeneratingAndOverfitting.05GBMinH2O.R		Week02.02ImportingGeneratingAndOverfitting.05GBMinH2O.R
Week02.02ImportingGeneratingAndOverfitting.06LetsOverfitaGBM.R		Week02.02ImportingGeneratingAndOverfitting.06LetsOverfitaGBM.R
Week02.02ImportingGeneratingAndOverfitting.07CrossValidationInH2Ogbm.R		Week02.02ImportingGeneratingAndOverfitting.07CrossValidationInH2Ogbm.R
Week03.02LinearModelsAndNaiveBayes.01ExploringWIthGLMs.R		Week03.02LinearModelsAndNaiveBayes.01ExploringWIthGLMs.R
Week03.02LinearModelsAndNaiveBayes.02NaiveBayes.R		Week03.02LinearModelsAndNaiveBayes.02NaiveBayes.R
Week03.03DataManipulation.01DataManipulationStatistics.R		Week03.03DataManipulation.01DataManipulationStatistics.R
Week03.04Grids.02ApplyingGrids.R		Week03.04Grids.02ApplyingGrids.R
Week04.01EarlyStopping.01EarlyStoppingLoadAndSaveModels.R		Week04.01EarlyStopping.01EarlyStoppingLoadAndSaveModels.R
Week04.02BindingAndMergingData.01BindingDataTables03MergingAndJoins.R		Week04.02BindingAndMergingData.01BindingDataTables03MergingAndJoins.R
Week04.03DeepLearning.03DeepLearning.R		Week04.03DeepLearning.03DeepLearning.R
Week04.03DeepLearning.06DeepLearningWithGrids.R		Week04.03DeepLearning.06DeepLearningWithGrids.R
Week04.03DeepLearning.07RegressionWithDeepLearning.R		Week04.03DeepLearning.07RegressionWithDeepLearning.R
Week05.01Autoencoders.03UsingAutoencoders.R		Week05.01Autoencoders.03UsingAutoencoders.R
Week05.02MoreDimensionReduction.01PCAandGLRM.R		Week05.02MoreDimensionReduction.01PCAandGLRM.R
Week05.03Clustering.01ClusteringK-Means.R		Week05.03Clustering.01ClusteringK-Means.R
Week05.04HandlingMissingData.03Hands-onDataRepair.R		Week05.04HandlingMissingData.03Hands-onDataRepair.R
Week06.01Ensembles.03StackedEnsemblesInH2O.R		Week06.01Ensembles.03StackedEnsemblesInH2O.R
Week06.02OtherH2Otechnologies.01PojoAndMojo.R		Week06.02OtherH2Otechnologies.01PojoAndMojo.R

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