This project demonstrates mushroom classification using the Naive Bayes algorithm. The goal of this project is to classify mushrooms into edible or poisonous categories based on their physical characteristics. Naive Bayes is a popular machine learning algorithm that is well-suited for this task because it can handle a large number of features and is able to handle missing data.
Python - Programming Language
NumPy - Package for scientific computing with Python
Pandas - Library for data manipulation and analysis
Scikit-learn - Library for machine learning tasks
Matplotlib - Library for visualization
UCI Machine Learning Repository - for providing the mushroom dataset used in this project.
Brihat Sharma