This is a quite straight forward readme file for pml2015. Please double check the note in the R file: 1.Load all necessary Libraries. 2.Get the train and test files. 3.Eliminate the null value since we will use RandomForest. 4.Partition data with 60% for training and 40% for testing. 5.Use Random Forests algorithms for prediction. 6.Write the predictons generated in the previsou step into files.
-
Notifications
You must be signed in to change notification settings - Fork 0
zyystudio/PracticalMachineLearning2015
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published