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  3. Machine Learning for Time Series Data in Python

Exercise

Inspecting the classification data

In these final exercises of this chapter, you'll explore the two datasets you'll use in this course.

The first is a collection of heartbeat sounds. Hearts normally have a predictable sound pattern as they beat, but some disorders can cause the heart to beat abnormally. This dataset contains a training set with labels for each type of heartbeat, and a testing set with no labels. You'll use the testing set to validate your models.

As you have labeled data, this dataset is ideal for classification. In fact, it was originally offered as a part of a public Kaggle competition.

Instructions

100 XP
  • Use glob to return a list of the .wav files in data_dir directory.
  • Import the first audio file in the list using librosa.
  • Generate a time array for the data.
  • Plot the waveform for this file, along with the time array.