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This repository presents a step-by-step machine learning workflow for classifying mushrooms as edible or poisonous. It covers data exploration, preprocessing, PCA visualization, model training, cross-validation, evaluation, hyperparameter tuning, and prediction on new observations using the UCI Mushroom Dataset..

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tutorial template for AIML4OS projects

This repository provides a clean and modular template to build tutorials for projects in the AIML4OS project.

Usage

➡️ See this tutorial on how to customize and deploy this template.

About

This repository presents a step-by-step machine learning workflow for classifying mushrooms as edible or poisonous. It covers data exploration, preprocessing, PCA visualization, model training, cross-validation, evaluation, hyperparameter tuning, and prediction on new observations using the UCI Mushroom Dataset..

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