MovieLesRecommedatioSystems
ThisreposhowsasetofJupyterNotebooksdemostratigavarietyofmovierecommedatiosystemsfortheMovieLes1Mdataset.Thedatasetcotai1,000,209aoymousratigsofapproximately3,900moviesmadeby6,040MovieLesuserswhojoiedMovieLesi2000.
Herearethedifferetotebooks:
DataProcessig:Loadigadprocessigtheusers,movies,adratigsdatatopreparethemforiputitomymodels.Cotet-BasedadCollaborativeFilterig:UsigtheCotet-BasedadCollaborativeFilterigapproachSVDModel:UsigtheSVDapproachDeepLearigModel:UsigtheDeepLearigapproachAaccompaiedMediumblogposthasbeewritteupadcabeviewedhere:The4RecommedatioEgiesThatCaPredictYourMovieTastes
RequiremetsPytho2.7orPytho3.6JupyterNotebookDepedeciesChoosethelatestversiosofayofthedepedeciesbelow:
padasumpyscipymatplotlibsklearwordcloudsearborsurprisekerash5pyLiceseMIT.SeetheLICENSEfileforthecopyrightotice.
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