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项目作者:
mmant27
项目描述 :
Data science JH materials
高级语言:
HTML
项目主页:
项目地址:
git://github.com/mmant27/Data_science.git
创建时间:
2018-09-02T15:23:07Z
项目社区:
https://github.com/mmant27/Data_science
开源协议:
下载
13_Resampling_1647650459793.pdf
01_01_Introduction_1647650459806.pdf
01_02_Probability_1647650459842.pdf
01_03_Expectations_1647650459856.pdf
01_04_Independence_1647650459903.pdf
01_05_ConditionalProbability_1647650459932.pdf
02_01_CommonDistributions_1647650459961.pdf
02_02_Asymptopia_1647650460017.pdf
02_03_tCIs_1647650460044.pdf
02_04_Likeklihood_1647650460062.pdf
02_05_Bayes_1647650460095.pdf
03_01_TwoGroupIntervals_1647650460123.pdf
03_02_HypothesisTesting_1647650460156.pdf
03_03_pValues_1647650460196.pdf
03_04_Power_1647650460201.pdf
03_05_MultipleTesting_1647650460263.pdf
03_06_resampledInference_1647650460300.pdf
index_1647650460326.pdf
index_1647650460352.pdf
index_1647650460387.pdf
index_1647650460427.pdf
index_1647650460451.pdf
index_1647650460489.pdf
index_1647650460554.pdf
index_1647650460577.pdf
index_1647650460606.pdf
index_1647650460633.pdf
index_1647650460648.pdf
index_1647650460719.pdf
P-values_1647650460751.pdf
index_1647650460825.pdf
index_1647650460859.pdf
Multiple testing_1647650460895.pdf
index_1647650461014.pdf
Bootstrapping_1647650461050.pdf
index_1647650461083.pdf
unnamed-chunk-1_1647650461451.pdf
unnamed-chunk-10_1647650461505.pdf
unnamed-chunk-2_1647650461533.pdf
unnamed-chunk-3_1647650461577.pdf
unnamed-chunk-5_1647650461596.pdf
unnamed-chunk-7_1647650461629.pdf
unnamed-chunk-9_1647650461681.pdf
Count outcomes_1647650461848.pdf
Basic least squares_1647650461969.pdf
Binary outcomes_1647650462051.pdf
Simulation for model checking_1647650462168.pdf
Count outcomes_1647650462320.pdf
Inference basics_1647650462447.pdf
Model checking and model selection_1647650462610.pdf
Multiple regression_1647650462739.pdf
Regression in the real world_1647650462853.pdf
01_01_1647650462984.pdf
01_02_1647650463017.pdf
01_03_1647650463061.pdf
01_04_1647650463085.pdf
01_05_1647650463159.pdf
01_06_1647650463217.pdf
01_07_1647650463296.pdf
02_01_1647650463342.pdf
02_02_1647650463460.pdf
02_03_1647650463560.pdf
02_04_1647650463606.pdf
02_05_1647650463622.pdf
03_01_1647650463679.pdf
03_02_1647650463742.pdf
03_03_1647650463799.pdf
03_04_1647650463845.pdf
Binder1_1647650463923.pdf
Combining predictors_1647650465976.pdf
001predictionMotivation_1647650466253.pdf
002whatIsPrediction_1647650466328.pdf
003relativeImportance_1647650466424.pdf
004inOutSampleErrors_1647650466465.pdf
005predictionStudyDesign_1647650466513.pdf
006typesOfErrors_1647650466627.pdf
007receiverOperatingCharacteristic_1647650466706.pdf
008crossValidation_1647650466751.pdf
009whatData_1647650466831.pdf
010caretPackage_1647650466910.pdf
011dataSlicing_1647650466971.pdf
012trainOptions_1647650467007.pdf
013plottingPredictors_1647650467049.pdf
014basicPreprocessing_1647650467118.pdf
015covariateCreation_1647650467136.pdf
016preProcessingPCA_1647650467157.pdf
017predictingWithRegression_1647650467267.pdf
018predictingWithRegressionMC_1647650467336.pdf
019predictingWithTrees_1647650467390.pdf
020bagging_1647650467452.pdf
021randomForests_1647650467480.pdf
022boosting_1647650467527.pdf
023modelBasedPrediction_1647650467566.pdf
024regularizedRegression_1647650467635.pdf
025combiningPredictors_1647650467709.pdf
026unsupervisedPrediction_1647650467737.pdf
027forecasting_1647650467777.pdf
RPackages_1647650468055.pdf
classes-methods_1647650468099.pdf
googleVis_1647650468144.pdf