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Free Download Wine Quality Prediction Using Machine Learning Algorithms Project in Python with source code

Python project     Aditya D    2020-08-05
wine-quality-prediciton  

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Wine Quality Prediction Using Machine Learning Algorithms project is a desktop application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Wine Quality Prediction Using Machine Learning Algorithms is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into JUPYTER NOTEBOOK. This Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering final year students can submit in college. This script developed by Aditya D. This desktop application 100% working smooth without any bug. It is developed using Python Machine Learning and Database Local storage. This software code helpful in academic projects for final year students. We have a great collection of Python projects.





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This doucment file contains project Synopsis, Reports, and various diagrams. Also abstract pdf file inside zip so that document link below the page. Class Diagrams, Use Case Diagrams, Entity–relationship(ER) Diagrams, Data flow diagram(DFD), Sequence diagram and software requirements specification (SRS) in report file. Complete ready made open source code free of cost download. You can find Top Downloaded Python projects here.

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About Project



project Name :  Wine Quality Prediction Using Machine Learning Algorithms
project ID :  3908
Developer Name :  Aditya D
Upload Date :  2020-08-05
project Platform :  Python
Programming Language :  Python Machine Learning
IDE Tool :  JUPYTER NOTEBOOK
project Earning :  Aditya D Earn Rs.80 from this project.
Database :  Local storage
project Type :  desktop Application
No of project Download :  17
project Total View :  146
Today Trends :  1
Current Month Trends :  26
Last Month Trends :  121
project Source Code Link :   Download Here (3.0695MB)
project Report Link :  Download here  (0.8370MB)

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Features of the Project

Wine classification is a difficult task since taste is the least understood of the human senses. A good wine quality prediction can be very useful in the certification phase, since currently the sensory analysis is performed by human tasters, being clearly a subjective approach. An automatic predictive system can be integrated into a decision support system, helping the speed and quality of the performance. Furthermore, a feature selection process can help to analyze the impact of the analytical tests. If it is concluded that several input variables are highly relevant to predict the wine quality, since in the production process some variables can be controlled, this information can be used to improve the wine quality. Classification models used here are 1) Random Forest 2) Stochastic Gradient Descent 3) SVC 4)Logistic Regression


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