Statistics for Data Science

Techniques and approaches for regression

You'll find that various techniques for carrying out regression analysis have been developed and accepted.

Some research may show the top techniques as the following:

• Linear
• Logistic
• Polynomial
• Stepwise
• Ridge
• Lasso

Here are a quick few words on each:

• Linear regression: Linear regression is the most basic type of regression and is commonly used for predictive analysis projects. In fact, when you are working with a single predictor (variable), we call it simple linear regression, and if there are multiple predictor variables, we call it multiple linear regression. Simply put, linear regression uses linear predictor functions whose values are estimated from the data in the model.
• Logistic regression ...