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#16 Introduction to Regression | Introduction to Machine Learning (Tamil) 2.6
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Welcome to 'Introduction to Machine Learning (Tamil)' course !
This video talks about regression, particularly linear regression, which is used to model the relationship between features (independent variables) and a label (dependent variable). It explains that the goal of linear regression is to find the best-fit line that minimizes the squared error between predicted and actual values. The process often involves finding the best orthogonal projection of the label onto the subspace spanned by the features.
NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications.
#LinearRegression #Regression #Features #Label #BestFitLine #SquaredError #OrthogonalProjection #AI #MathforML #DataScience #MLConcepts
This video talks about regression, particularly linear regression, which is used to model the relationship between features (independent variables) and a label (dependent variable). It explains that the goal of linear regression is to find the best-fit line that minimizes the squared error between predicted and actual values. The process often involves finding the best orthogonal projection of the label onto the subspace spanned by the features.
NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications.
#LinearRegression #Regression #Features #Label #BestFitLine #SquaredError #OrthogonalProjection #AI #MathforML #DataScience #MLConcepts
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