Regression Analysis In Machine Learning in telugu | Types of Regression | Machine Learning

Regression Analysis in Machine learning
Regression analysis is a statistical method to model the relationship between a dependent (target) and independent (predictor) variables with one or more independent variables. More specifically, Regression analysis helps us to understand how the value of the dependent variable is changing corresponding to an independent variable when other independent variables are held fixed. It predicts continuous/real values such as temperature, age, salary, price, etc.
Types of Regression
There are various types of regressions which are used in data science and machine learning. Each type has its own importance on different scenarios, but at the core, all the regression methods analyze the effect of the independent variable on dependent variables. Here we are discussing some important types of regression which are given below:

Linear Regression
Logistic Regression
Polynomial Regression
Support Vector Regression
Decision Tree Regression
Random Forest Regression
Ridge Regression
Lasso Regression

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