1- Download the Auto MPG dataset (filename: "auto-mpg.data" in the "Data Folder") (https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/)

2- Read the datset using pandas (use separator sep="\s+")

The column names can be found here (https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.names)

Note: you can remove rows with invalid numbers: df = df[df["horsepower" != "?"]]

3- Train KNeighborsRegressor and LinearRegression models that can predict mpg given displacement, horsepower, weight, acceleration

4- Compare the models in terms of the mean squared error (MSE)

5- What is the estimated mpg if displacement, horespower, weight, acceleration = [200, 100, 3000, 15] (use both models to make predictions)?

with Python