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Exercise

Fitting a simple model: regression

In this exercise, you'll practice fitting a regression model using data from the Boston housing market. A DataFrame called boston is available in your workspace. It contains many variables of data (stored as columns). Can you find a relationship between the following two variables?

  • "AGE": proportion of owner-occupied units built prior to 1940
  • "RM" : average number of rooms per dwelling
Instructions
100 XP
  • Prepare X and y DataFrames using the data in boston.
    • X should be the proportion of houses built prior to 1940, y average number of rooms per dwelling.
  • Fit a regression model that uses these variables (remember to shape the variables correctly!).
  • Don't forget that each variable must be the correct shape for scikit-learn to use it!
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