Analysis of Canine EEGs for Mental State Classification

This project tries to analyse a Canine Olfactory EEG Dataset containing three classes:

• Green Tea
• Black (Chamomile) Tea
• None

There are various steps involved in the process, and the workflow here may be divided into three major sections:

• Setup - Involves setting up dependencies, and loading data.
• Data Preprocessing - Processing Data and Epochs.
• Machine Learning - Applying different ML Algorithms.

A detailed dive into this project and it's results has been performed on the following notion page: Deeper Dive