Section: REGRESSION TECHNIQUES | Machine Learning (CO402)

Section outline

Linear regression- Linear models, A bi-dimensional example, Linear Regression and higher dimensionality, Ridge, Lasso and Elastic Net, Robust regression with random sample consensus, Polynomial regression, Isotonic regression,

Logistic regression-Linear classification, Logistic regression, Implementation and Optimizations, Stochastic gradient descendent algorithms, Finding the optimal hyper-parameters through grid search, Classification metric, ROC Curve.
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  This Link has ppt of Unit-III:Regression Techniques
  
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