Predictive Viticulture: A Machine Learning Approach to Wine Quality - Softcover

Siraj, Imran; Batra, Reenu; Balhara, Ritika

Softcover

ISBN 10: 6630168879 ISBN 13: 9786630168877

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. Imran Siraj is working with KR Mangalam University, Gurugram, India.He has experience in Robotics & automation and Digital Manufacturing Platforms.He has about 15 years of teaching experience and 23+ research papers and 2 books.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 6630168879
• ISBN 13: 9786630168877
• Einband: Taschenbuch
• Anzahl der Seiten: 72
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Deutschland