Part1:Classification 1Machinelearningbasics 2Classifyingwithk-nearestneighbors 3Splittingdatasetsonefeatureatatime:decisiontrees 4Classifyingwithprobabilitydistributions:Na�veBayes 5Logisticregression 6Supportvectormachines 7Improvingclassificationwithameta-algorith