The I makes the command after run as a CLI command instead of Python.

curl is a command line tool for transferring data with URLS

The URL is pointing to this file hosted on Github

output train. CSV saves the data into a file on the Colab file system named train.csv$.$

$[1]$ Icurl

https:$//$raw$.$githubusercontent.com$/$datascience$-$datasets$/$housing$/$main$/$train$\_$csV $--$output train.cSV

$\backslash$table$[[\%$ Total $\%$ Received $\%$ Xferd Average Speed Time Time,Time Current$],[$Dload Upload Total Spent Left Speed,$]]$

Problem Statement

Create $4$ regression models to predict house prices using $3$ of the variables you identified in last weeks lab $($or any other $3$ if you think another variable might work better$).$ You must use at least $1$ categorical variable, and $1$ numeric variable.

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 Scikit$-$Learn:

Linear Regression $($LinearRegression$)$

K$-$Nearest Neighbors $($KNeighborishegressor$)$

Support Vector Machines $($SVR$)$

Random Forest $($RandomForestiRegressor$)$

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