Group project with myself, Ian Kegler, Yeonjim Kim, Tom Shakespeare, using multiple Machine Learning models to predict the edibility of mushrooms.
Note that all code is written in python version 2.7.
The full project code from all 4 members. Contains Exploratory, Explanatory, Predictive, and Application sections.
The model was able to successfully predict whether mushrooms were edible or not with a 99.8% accuracy, with a total of 0 False Negatives.
The dataset used for the analysis.