Random Forest Classification for Neural Subtypes

Overview

Random Forest Classification for Neural Subtypes

This notebook is focussed on stepping through a Random Forest classifier for neural subtypes extracted from extracellular recordings from human brain organoids. We will step through multi-demsionality reduction, clustering, waveform plotting and confusion matrices. Notably, this is a simple data analysis notebook for the purpose of a Medium & Kaggle contribution.

Waveform plotting

Multi-dimensionality reduction

Clustering

Data breakdown

Random forest

Owner
Michael Zabolocki
PhD candidate in Human Neurophysiology & Genetics.
Michael Zabolocki
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