DataSciencewithPythonbeginsbyintroducingyoutodatascienceandteachesyoutoinstallthepackagesyouneedtocreateadatasciencecodingenvironment.Youwilllearnthreemajortechniquesinmachinelearning:unsupervisedlearning,supervisedlearning,andreinforcementlearning.Youwillalsoexplorebasicclassificationandregressiontechniques,suchassupportvectormachines,decisiontrees,andlogisticregression.Asyoumakeyourwaythroughchapters,youwillstudythebasicfunctions,datastructures,andsyntaxofthePythonlanguagethatareusedtohandlelargedatasetswithease.YouwilllearnaboutNumPyandpandaslibrariesformatrixcalculationsanddatamanipulation,studyhowtouseMatplotlibtocreatehighlycustomizablevisualizations,andapplytheboostingalgorithmXGBoosttomakepredictions.Intheconcludingchapters,youwillexploreconvolutionalneuralnetworks(CNNs),deeplearningalgorithmsusedtopredictwhatisinanimage.Youwillalsounderstandhowtofeedhumansentencestoaneuralnetwork,makethemodelprocesscontextualinformation,andcreatehumanlanguageprocessingsystemstopredicttheoutcome.Bytheendofthisbook,youwillbeabletounderstandandimplementanynewdatasciencealgorithmandhavetheconfidencetoexperimentwithtoolsorlibrariesotherthanthosecoveredinthebook.