Wine Quality Prediction Using Machine Learning Algorithms Project in Python with Source Code and Report [ download ]

About project

project Name	Wine Quality Prediction Using Machine Learning Algorithms
Project Complexity	advanced
Duration	15 Days
project ID	3908
Developer Name	Alfa Hack
Publish Date	August 5, 2020
project Platform	Python
Programming Language	For this particular Python project, Python Machine Learning is required
Front End	GUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
Back End	Python, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
IDE Tool	JUPYTER NOTEBOOK
Database Integration	Local storage
project Type	desktop Application
No of project Download	78
project Total View	2359
Today Trends	285
Current Month Trends	305
Last Month Trends	17

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File size 3.0695 MB

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Download Diagrams :

Class Diagrams

Use Case Diagrams

Entity–relationship(ER) Diagrams

DFD Diagrams

Sequence Diagrams

Features of the Wine Quality Prediction Using Machine Learning Algorithms project

We will implement the following feature in the Python Wine Quality Prediction Using Machine Learning Algorithms 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

User modules and function of Wine Quality Prediction Using Machine Learning Algorithms

We will implement the following functionalities in the Python Wine Quality Prediction Using Machine Learning Algorithms Project:

Software requirement to run this project

Install latest Python for Windows / Mac / Linux. IDE for python : PyCharm, Visual Studio Code, Sublime Text, Spyder, Thonny, Atom, IDLE, Emacs, Jupyter, PyDev, Vim, Visual Studio, Eclipse, PyDev, Eric, Code editing, PyScripter DBMS : MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server As per Project requriments.

Hardware requirement to run this project

1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for high preforms.

How to install the project?

After you finish downloading the project, unzip the project file.

We need to import the code through the jupyternotebook

How to import database?

We have dataset that is the database that is available and used for prediction

Why a download Wine Quality Prediction Using Machine Learning Algorithms project from kashipara?

Downloading the Wine Quality Prediction Using Machine Learning Algorithms project from Kashipara is a best choice for students, beginners, and developers looking for a reliable, well documented, and ready to use project in Python.

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Our Wine Quality Prediction Using Machine Learning Algorithms Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
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Comprehensive Documentation:
- We provide project Synopsis
- Wine Quality Prediction Using Machine Learning Algorithms project Abstract in PDF and PPT formats download in reports.
- Detailed Project Report
UML & Technical Diagrams Included:
- Class diagrams
- Use Case diagrams
- Entity–relationship(ER) diagrams
- Data flow diagram(DFD)
- Sequence diagram
- Software Requirements Specification (SRS)
This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
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