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Machine Learning with scikit：learn Quick Start Guide
Scikit-learnisarobustmachinelearninglibraryforthePythonprogramminglanguage.Itprovidesasetofsupervisedandunsupervisedlearningalgorithms.Thisbookistheeasiestwaytolearnhowtodeploy,optimize,andevaluatealloftheimportantmachinelearningalgorithmsthatscikit-learnprovides.Thisbookteachesyouhowtousescikit-learnformachinelearning.Youwillstartbysettingupandconfiguringyourmachinelearningenvironmentwithscikit-learn.Toputscikit-learntouse,youwilllearnhowtoimplementvarioussupervisedandunsupervisedmachinelearningmodels.Youwilllearnclassification,regression,andclusteringtechniquestoworkwithdifferenttypesofdatasetsandtrainyourmodels.Finally,youwilllearnaboutaneffectivepipelinetohelpyoubuildamachinelearningprojectfromscratch.Bytheendofthisbook,youwillbeconfidentinbuildingyourownmachinelearningmodelsforaccuratepredictions.
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- Summary
- Elbow plot
- Performance evaluation for unsupervised algorithms
- Root mean squared error
品牌：中圖公司
上架時間：2021-06-24 17:52:16
出版社：Packt Publishing
本書數(shù)字版權(quán)由中圖公司提供，并由其授權(quán)上海閱文信息技術(shù)有限公司制作發(fā)行
