Day 28 of 30 days of Data Analytics with Projects Series — Regression( Part 1)

Pic credits : Stats by jim

Welcome back peep. Hope all’s well. This is Day 28 of 30 days of data analytics where we will be covering Regression ( Part 1).

1.Linear Regression

2. Multi Linear Regression

3. Polynomial Regression

Part 2

4. Support Vector Regression

5. Decision Tree Regression

6. Random Forest Regression

Let’s cover the most important concepts in brief —

1. Linear Regression: a statistical method used to analyze the relationship between one dependent variable and one or more independent variables by fitting a linear equation to the observed data.
2. Multi Linear Regression: a statistical method used to analyze the relationship between one dependent variable and two or more independent variables by fitting a linear equation to the observed data.
3. Polynomial Regression: a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as an nth degree polynomial.
4. Support Vector Regression: a type of support vector machine that is used for regression…