Python script to prepare training data for a Mushroom Classifier
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Updated
Jul 20, 2019 - Python
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.
Apply machine-learning models on mushroom data to predict if a mushroom is edible or not
Model Machine Learning for dataset mushroom using scikit learning
Flask & Keras project for forest mushrooms classification
Support Vector Machines for classification in the famous Iris and Mushroom datasets. Kernels used for the SVM are linear, polynomial, and radial.
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.
Mushroom 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.
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
Webapp for mushroom edibility prediction based on its characteristics.
Project for Intro to Data Mining course, where the goal is to classify a mushroom as poisonous or edible.
Contains Docker-Compose files for deploying Mushroom-Classification images
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