Machine Learning On Mushroom Dataset

This tutorial explores how to use Python machine learning code with the Mushroom Dataset and deploy the resulting model through multiple methods.

Introduction

The Mushroom Dataset is a useful classification dataset for demonstrating how machine learning can distinguish between edible and poisonous mushrooms based on their characteristics. Before training a model, inspect the data, handle categorical features, and define the target label clearly.

Links

1) Streamlit Host

• Generic 
• MCP 
• MCP Phase 2

2) Starts MCP

• MCP Server

3) Exception: Ranking House PMML

• House Ranking Link