Machine Learning

 Equation of hyperplane You know Equation of line y=mx+b Do You know Equation of hyperplane? Ans- y=Σw i x i

SVM Intuition SVM(Support Vector Machine) is knows as family of linear models but it is really good than linear models it can draw line also and work as well in non-linear dataset also NOTE-Linear models<SVM always this is not true remember The target of LinearSVM classifier is to maximize margin

In Bagging distribute dataset send to our main algorithm NOTE FROM BLOG->Firstly we study SVM before learning full ensemble techniques

 Voting Regressor In previous class we discuss about the voting classifier.Today we use voting with regression.Let's start todays class Model: 1. Linear Regression 2. Support vector machine 3. Random forest New point - X=0.987,y=? How our voting regressor predict value? Linear Regression says 15.7 SVM says 12.9 Random forest says 8 Voting Regressor take mean of all model outputs which is 31.2 It means new point X=0.987 and y=31.2