5 Regression Techniques you should know!
1. Linear Regression
Linear regression is usually among the first few topics which people pick while learning predictive modeling.
2. Logistic Regression
Logistic regression is used to find the probability of event=Success and event=Failure.
3. Polynomial
Regression
A regression equation is a polynomial regression equation if the power of independent variable is more than 1.
4. Stepwise
Regression
The aim of this modeling technique is to maximize the prediction power with minimum number of predictor variables.
5. Ridge
Regression
Ridge Regression is a technique used when the data suffers from multicollinearity.
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