Learn to use Support Vector Machines in Python(sklearn) and R
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Updated
Aug 16, 2017 - Jupyter Notebook
Learn to use Support Vector Machines in Python(sklearn) and R
A machine-learning project to determine if a certain mushroom is edible or poisonous.
I explain how to export weights from a Keras model and import those weights in Keras.js, a JavaScript framework for running pre-trained neural networks in the browser. I show you later how to include the final result into a Phonegap Cordova mobile application.
Classifies mushrooms as poisonous or edible using machine learning algorithms
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
Machine Learning Model to classify whether a Mushroom is Edible or Poisonous by its features
Jupyter notebook and data for this blog post
As eating healthy is on the rise, how do we know if we can safely enjoy our fabulous fungi? This repository uses machine learning and visualizations to help classify which are the most dangerous and should be avoided.
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.
Python script to prepare training data for a Mushroom Classifier
Implementation of a neural network for solving the problem of mushroom classification based on the TensorFlow library and the pre-trained efficientnet/b0 model.
Machine Learning assignments, Machine Learning (IE500618) course, fall 2022.
An Android App for Image-Classification / Mushroom-Classification based on Pictures.
Apply machine-learning models on mushroom data to predict if a mushroom is edible or not
CAN YOU EAT IT is a web application that allows users to identify fungi by location & season.
Model Machine Learning for dataset mushroom using scikit learning
Flask & Keras project for forest mushrooms classification
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