This is a personal machine learning project focused on classifying mushrooms as edible or poisonous.
The model was trained using a dataset containing various features such as cap shape, color, odor, and habitat. I applied data preprocessing techniques and trained a classification model to accurately distinguish between edible and toxic mushrooms.
The project demonstrates my skills in data analysis, feature engineering, and supervised machine learning. It can be used as a simple decision-support tool for mushroom classification.
Technologies used:
* Python
* Scikit-learn
* Pandas & NumPy