Mushrooms are fun (but deadly)

1. Introduction

This is a project built during the Digital Futures Data Science Academy. The aims were to use class predictive modelling to determine if a mushroom is edible or poisonous based on a minimum number of biological traits. The dataset used is available on Kaggle here and on this repository under the Data directory.

2. Code

The source code for the models is in the Code directory and a walkthrough of it is available in this blogpost. The main notebook is called Mushies_demo.ipynb and holds code for final models. Other notebooks are for data visualisation and additional analyses, the outputs of which are imported to the main notebook.

3. Dependencies

This project was built with Python 3.9 in a Jupyter notebook. I recommend starting an Anaconda environment with the following dependencies installed: Pandas, NumPy, Seaborn, MatplotLib and scikit-learn.