Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms | Python IEEE Project

Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms | Python Final Year IEEE Project. 🛒Buy Link: https://bit.ly/3YJ0oEW (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Project Title: Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms. 💡Implementation Code: Python. 🔬Algorithm / Model Used: Decision Tree Classifier. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.3000/. 📘Project Abstract: 👉The project "Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms" endeavors to develop a machine learning-based system that can effectively differentiate between edible and poisonous mushrooms using 22 features in the Mushroom dataset. 👉The proposed model for classification is the Decision Tree Classifier, which has shown to be a promising algorithm for such classification tasks. 👉The performance evaluation is based on the training and testing accuracy of the Decision Tree Classifier. The results show that the proposed model achieves a 100% training and testing accuracy, which suggests its superiority over the existing system model AdaBoost. 📌REFERENCE: Kemal Tutuncu; Ilkay Cinar; Ramazan Kursun; Murat Koklu, “Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms”, 2022 11th Mediterranean Conference on Embedded Computing (MECO), IEEE Conference 2022. 🏷️tags: #python #pythonprojects #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorprojects #mushroom #predictions