Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection. Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms.
In this meetup
– – How to learn an SVM model from training data.
– How a learned SVM model representation can be used to make predictions for new data.
– Work on Support Vencot Machine Program to Predict Category of a Cancer Please join the meeting