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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
本書數字版權由中圖公司提供,并由其授權上海閱文信息技術有限公司制作發行