Problem Statement

Greate $4$ regression models to prediot house prices using $3$ variables. You must use at least $1$ categorical variable, and $1$ numeric varieble. For preprocessing your data:

All the numeric variables must be scaled between $0$ and $1$ with MinMaxscaler

All the categorical variables must be one hot encoded with OneHoitEncoder

Use the following regression algorithms from ScikitLearn:

Linear Regression $($LinearRegression$)$

KKNearest Neighbors $($KNeighborsRegressor$)$

Support Vector Machines $($SVR$)$

Random Forest $($RandomForestiregressor$)$

Galculate the mean absolute error of the predictions from the three models on the training data set.

Give the coding pls