Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
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Updated
Dec 12, 2018 - Python
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
This project aims at developing a web application that uses a machine-learning algorithm and predict if a certain mushroom is edible or poisonous by its specifications like cap shape, cap color, gill color, etc.
🍄 Extract logical rules for mushroom edibility: Neural Networks; Genetic Algorithm + Decision Tree
Capstone project for WGU's Computer Science program.
Python script to prepare training data for a Mushroom Classifier
Detect the poisonous mushroom using its physical characteristics
Logistic Regression model is used to predict whether a mushroom is safe to be eaten or not
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