$2\mathrm{.}13$ LAB: Importing packages

Import the necessary modules and read in a csv file. The homes dataset contains $18$ features giving the characteristics of $76$ homes being sold. The modules will be used with the homes $.$csv file to perform a linear regression. Linear regression will be covered in a different chapter.

Import the NumPy and pandas packages with the aliases used in this material

Import the function LinearRegression from the sklearn.linear$\_$model package

Read in the csv file homes.csv

Ex$.$ If the csv file homes$\_$small.csv is used instead of homes.csv$,$ the output is:

The intercept of the regression is $249\mathrm{.}522$

The slope of the regression is $36\mathrm{.}758$

$539924008358$ exazcy?

LAB ACTIVITY

$2\mathrm{.}13\mathrm{.}1$: LAB: Importing packages

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