Download the dataset for linear regression $($regression$-$dataset.zip$)$ from LearningSpace.

Origin: this data consists of samples from a $2$D surface that you can plot to visualize how linear

regression is working.

Format: there is one row per data point and one column per feature. The targets are real values. The file

train$\_$targets.csv includes the targets for the data in train$\_$inputs.csv$.$

Write a code to perform the linear regression. You are allowed to use any library for this purpose.

Feel free to run the Jupyter notebook on any machine or Google Colab. Google Colab is a free cloud

environment provided by Google that allows you to run Jupyter notebooks very easily. Python and all

necessary libraries are already installed.