Predictive Viticulture: A Machine Learning Approach to Wine Quality
Language: English
Published by LAP LAMBERT Academic Publishing, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Seller Inventory # 9786630168877
- Title
- Predictive Viticulture: A Machine Learning Approach to Wine Quality
- Author
- Reenu Batra
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6630168879
- ISBN 13
- 9786630168877
- Item weight
- 125 grams
- Dimensions
- 220x150x5 mm
"Synopsis" may belong to another edition of this title.
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|---|---|---|
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