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Exercise

Visualize regression coefficients

Now that you've fit the model, let's visualize its coefficients. This is an important part of machine learning because it gives you an idea for how the different features of a model affect the outcome.

The shifted time series DataFrame (prices_perc_shifted) and the regression model (model) are available in your workspace.

In this exercise, you will create a function that, given a set of coefficients and feature names, visualizes the coefficient values.

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Define a function (called visualize_coefficients) that takes as input an array of coefficients, an array of each coefficient's name, and an instance of a Matplotlib axis object. It should then generate a bar plot for the input coefficients, with their names on the x-axis.

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