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Please enable JavaScript in your browser settings or update your browser.Lære Challenge | Multiple Linear Regression
Linear Regression for ML
Sektion 2. Kapitel 4
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bookChallenge

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For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age and square_feet).


              
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import pandas as pd

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv')
print(df.head())
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Your task is to build a Multiple Linear Regression model using the OLS class. Also, you will print the summary table to look at the p-values of each feature.

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  1. Assign the 'age' and 'square_feet' columns of df to X.
  2. Build and train the model using the LinearRegression class.
  3. Predict the target for X_new.

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Sektion 2. Kapitel 4
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