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Predict Prices Using Two Features
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Зміст курсу

Linear Regression with Python

Predict Prices Using Two FeaturesPredict Prices Using Two Features

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).

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.

Завдання

  1. Assign the 'age' and 'square_feet' columns of df to X.
  2. Preprocess the X for the OLS's class constructor.
  3. Build and train the model using the OLS class.
  4. Preprocess the X_new array the same as X.
  5. Predict the target for X_new.
  6. Print the model's summary table.

If you did everything right, you got the p-values close to zero. That means all our features are significant for the model.

Все було зрозуміло?

Секція 2. Розділ 5
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