Machine Learning with EEG Time-Series | Easy Python Project [Video]

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:
📌 https://www.youtube.com/watch?v=NUbifL_MAro&ab_channel=CancerResearchUK

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