In today's video, we’ll do a small machine learning project with EEG time series data using Python.
We will classify EEG segments of 30 seconds from an open data set of participants in a sleep study between awake or asleep using random forest.
Table of Content
Introduction: 0:00
Project Overview: 1:07
EDF Data Format: 2:11
Power Spectra Density: 3:11
Classification Scheme: 4:32
Code Setup: 6:08
Loading Data and Pre-Processing: 8:16
Feature Engineering: 15:32
Classification with Random Forest: 18:32
Conclusion: 22:51
Great blog about PSD:
📌 https://raphaelvallat.com/bandpower.html
Video at the start from Cancer Research UK:
📌 • What It's Like to Have an MRI Scan | ...
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