Contacto
Cómo comprar
Entrega
Guía de compras
Predictive Viticulture
A Machine Learning Approach to Wine Quality
Inglés
151 b
Próximamente
Nuevo
Hasta 30 días para devoluciones
In this project, a Wine Quality Prediction System was developed to predict the quality of wine based on various physicochemical properties. The system leverages Python programming and the Scikitlearn library for implementing machine learning algorithms. A Random Forest Classifier was employed to achieve accurate and efficient predictions. The project utilizes Pandas and NumPy for data preprocessing and exploratory data analysis, while Matplotlib and Seaborn were used for visualization of trends and patterns in the dataset. The dataset used for this project was sourced from the UCI Machine Learning Repository. The development process followed the Iterative life cycle model of software development, ensuring systematic implementation and testing of features. The project is structured using Modular Design Principles, enhancing maintainability and scalability.
Sobre el libro
Inglés
Regale este libro hoy
Es fácil
1 Añadir al carrito y elegir Entregar como regalo en el checkout 2 Le enviaremos un vale 3 El libro llegará a la dirección del destinatario¡Hola! Soy Libroamiko, tu asesor de libros.
¿Cómo puedo ayudarte?