📈Linear Regression: Visualized 😇.
the art of fitting the best line…
Linear regression is a regression model that estimates the relationship between one independent variable and one dependent variable using a straight line. Both variables should be quantitative.
We feed the training examples to linear regression algorithm and it comes up with parameters θ that make the linear line fit best to the model.
Then we make prediction based on this best fit line on unseen data.
📑There are two types of Linear Regression:
1.
Simple Linear Regression :
In simple linear regression we fit the best line on data that have one dependent variable and one independent variable.
ex. Height vs Weight
2.
Multi-Linear Regression:
In multi-linear regression we fit the best line to data that have one dependent variable and multiple independent variable
ex: Blood Pressure vs (Weight and Age)
Linear Regression Equation’s:
Check Out: Linear Regression on House Price
