GitHub - preranavarsha770/Support_Vector_Machine: Support vector machine (SVM) is an extension of the support vector classifier which uses Kernels to create nonlinear boundaries Kernels Some functional relationships between two observations. Some popular kernels 1. Linear 2. Polynomial 3. Radial Here in this project, we try to apply SVM on a movie-related dataset, to do analysis on the collection of a movie and its probability to win the Oscar based on other independent variables

preranavarsha770 / Support_Vector_Machine Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Support vector machine (SVM) is an extension of the support vector classifier which uses Kernels to create nonlinear boundaries Kernels Some functional relationships between two observations. Some popular kernels 1. Linear 2. Polynomial 3. Radial Here in this project, we try to apply SVM on a movie-related dataset, to do analysis on the collecti…