Challenge: Solving the Task Using CorrelationChallenge: Solving the Task Using Correlation


One of the most important tasks in machine learning is building a linear regression model (you can find more information in the Linear Regression with Python course).
Since we use a linear function in this model, we can use the correlation between features and target to indicate how significant a particular feature is for this model.

We will use 'Heart Disease Dataset' now: it contains 14 features, including the predicted attribute, which refers to the presence of heart disease in the patient. Your task is to calculate attribute importance using correlation:

  1. Calculate correlations between features and target.
  2. Print these correlations in ascending order.

Everything was clear?

Section 5. Chapter 3
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