CS229-Python

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匿名用户2021年11月11日
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开发技术Python
所属分类人工智能、机器学习/深度学习
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StanfordCS229MachineLearninginPython

ThisrepositorycontainstheproblemsetsaswellasthesolutionsfortheStanfordCS229-MachineLearningcourseonCourserawritteninPython3.Someadditionalnotestakenbymearealsoincluded.

PleasecheckoutthecoursewebsiteandtheCourseracourse.

Pleasenotethatyoursolutionswon'tbegradedandarenotaffiliatedtoCourserainanyway.Ifyouranswersdifferfrommineandyouarguethatyoursarebetter,pleasecreateanissueonGitHub.

Installation

Makesureyouhavejupyternotebooksinstalled.Youcanfindinstructionshere.

ThefollowingPythonpackagesareused:

NumpyScipyMatplotlibPandasPillowNaturalLanguageToolkit

Youcaninstallalldependenciesusing:

python3-mpipinstall-rrequirements.txtInstructionsPleasedownloadtheexercises(pdf)fromtheCourseracourse.SomeinstructionsareincludedintheNotebooks.CompletetheexercisesintheexercisesNotebook.CompareyouranswerstothecodeinsolutionsNotebook.ContentsLinearRegressionLogisticRegression&RegularizationMulticlassClassifcation&NeuralNetworksNeueralNetworksLearningRegularizedLinearRegressionandBiasv.s.VarianceSupportVectorMachinesK-meansClusteringandPrincipalComponentAnalysisAnomalyDetectionandRecommenderSystemsCopyrightNotice

Allcode,exercises,dataandotherfilesinthisrepoare©StanfordUniversity.IfyouareunhappyaboutmehostingthesefilesonGitHubforeducationalpurposes,pleasesendmeanemail.

Thecodewas'translated'toPythonbyRickWierenga.SomeoftheinstructionsaremodifiedtobetterfitthePythonecosystembymetoo.Thedata,backgroundinformationandtheintendedexercisearethesame.

©2020RickWierenga

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