Mushroom Classification Project

Overview

This project focuses on the analysis of mushroom data and the development of a decision tree model to predict whether a mushroom is edible or poisonous. The dataset contains various attributes describing mushrooms, and the goal is to create a reliable classification model.

Features

• Exploratory Data Analysis (EDA) on mushroom dataset
• Label encoding of categorical features
• Building a Decision Tree Classifier
• Evaluation using Confusion Matrix and Accuracy Score

Prerequisites

Make sure you have the following installed:

• Python 3.x
• Jupyter Notebook (for running the provided analysis notebook)

Getting Started

1. Clone the repository:

   git clone https://github.com/your-username/mushroom-classification.git
   cd mushroom-classification

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Jupyter Notebook:

   jupyter notebook Mushroom_Classification.ipynb

Project Structure

• Mushroom_Classification.ipynb: Jupyter Notebook containing the analysis and model development.
• mushrooms.csv: Dataset file.
• requirements.txt: List of Python dependencies.