{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction: Getting Started with SVM\n", "In this notebook, we explain to download the dataset and getting started with all the predictive tasks using Support Vector Machine. We will be extracting spectral features, specifically 6 rhythmic features - total power in 6 frequency bands, namely, Delta (0.5-4 Hz), Theta (4-8 Hz), Alpha (8-14 Hz), Beta (14-30 Hz), Low Gamma (30-47 Hz), and High Gamma (47-64 Hz). For preprocessing, we filter EEG first with 0.5 Hz highpass and then remove Artifact with ICA based approach. " ] }, { "cell_type": "markdown", "metadata": { "toc": true }, "source": [ "