Machinelearning—theabilityofamachinetogiverightanswersbasedoninputdata—hasrevolutionizedthewaywedobusiness.AppliedSupervisedLearningwithPythonprovidesarichunderstandingofhowyoucanapplymachinelearningtechniquesinyourdatascienceprojectsusingPython.You'llexploreJupyterNotebooks,thetechnologyusedcommonlyinacademicandcommercialcircleswithin-linecoderunningsupport.Withthehelpoffunexamples,you'llgainexperienceworkingonthePythonmachinelearningtoolkit—fromperformingbasicdatacleaningandprocessingtoworkingwitharangeofregressionandclassificationalgorithms.Onceyou’vegraspedthebasics,you'lllearnhowtobuildandtrainyourownmodelsusingadvancedtechniquessuchasdecisiontrees,ensemblemodeling,validation,anderrormetrics.You'llalsolearndatavisualizationtechniquesusingpowerfulPythonlibrariessuchasMatplotlibandSeaborn.Thisbookalsocoversensemblemodelingandrandomforestclassifiersalongwithothermethodsforcombiningresultsfrommultiplemodels,andconcludesbydelvingintocross-validationtotestyouralgorithmandcheckhowwellthemodelworksonunseendata.Bytheendofthisbook,you'llbeequippedtonotonlyworkwithmachinelearningalgorithms,butalsobeabletocreatesomeofyourown!