Support Vector Regression(SVR) Using Scikit-Learn | Machine Learning | Python |Code Warriors
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In this video we will discuss about basics of Support Vector Regression(SVR) Using Scikit-Learn.
Support Vector Regression is a form of linear regression in which the relationship between the independent variables x and dependent variable y is modeled with the minimum error rate between data points and model's best filling line and also minimum thresold value(margin) of supporting vector.
It is assumed that these variables are non-linearly related. Hence, we try to find a non-linear function that predicts the dependent value(y) as accurately as possible as a function of the features or independent variables(x).
Dataset(Position_Salaries.csv) : https://drive.google.com/open?id=1IHq...
Code: https://drive.google.com/open?id=1dTR...
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