There are 1 repository under mushroom-classification topic.
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.
A machine-learning project to determine if a certain mushroom is edible or poisonous.
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
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 to accurately classify mushrooms as either poisonous or non-poisonous using supervised machine learning techniques.
Classifies mushrooms as poisonous or edible using machine learning algorithms
Machine Learning Model to classify whether a Mushroom is Edible or Poisonous by its features
CAN YOU EAT IT is a web application that allows users to identify fungi by location & season.
Capstone project for WGU's Computer Science program.
An Android App for Image-Classification / Mushroom-Classification based on Pictures.
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.
Mushroom Classification Analysis using Machine Learning
This repository aims to implement a mushroom type classifier using PyTorch, utilizing various models to enhance performance. Additionally, the project includes an analysis of the model's performance using Gradient-Class Activation Map (Grad-CAM) visualization.
🍄 Extract logical rules for mushroom edibility: Neural Networks; Genetic Algorithm + Decision Tree
Performing classification on the edibility of mushrooms from a dataset - analyzing and making classification trees
Detect the poisonous mushroom using its physical characteristics
Flask & Keras project for forest mushrooms classification
Drying mushrooms is one of the most popular ways of mushroom preservation. Dried mushrooms can be stored for an extended period of time and used in a variety of recipes. Additionally, preserving mushrooms through freezing or canning can also be effective techniques for long-term storage.
Apply machine-learning models on mushroom data to predict if a mushroom is edible or not
Playground with mushrooms for testing divide and conquer algorithm that learns decision trees.
Machine Learning assignments, Machine Learning (IE500618) course, fall 2022.
this Mini project was a requirement to pass my Introduction to data science and big data analytics course in university, I did this project in December 2019.
Logistic Regression model is used to predict whether a mushroom is safe to be eaten or not
Project for Intro to Data Mining course, where the goal is to classify a mushroom as poisonous or edible.
Implementation of a neural network for solving the problem of mushroom classification based on the TensorFlow library and the pre-trained efficientnet/b0 model.
MushPy project is a Data Science project carried out as part of the Data Scientist training at DataScientest. It has the main objective to create recognition models to classify mushrooms
Model Machine Learning for dataset mushroom using scikit learning
Mushroom classification