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Poster presented at AMLaP 2025 in Prague
Random Forrest Classifier - Microbiome Abundance data
emonstrates how to train, evaluate, and apply a **Random Forest classifier** on microbiome relative abundance data.
It includes preprocessing, cross-validation, model tuning, and visualization of prediction probabilities — including **faceted heatmaps grouped by diet**.
ES3307 Week 3 tutorial Tuesday
Group 3 data on Plant Growth
Group 1 Tutorial 3
Motor Trend Car Road Tests
