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Restaurant Data Analysis And Event Success Prediction project in Python.

Python project   Last updated on - June 2, 2020
Pranjali Rawke
Pranjali Rawke
Java php sql Python Powerapps 
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In this page Restaurant Data Analysis And Event Success Prediction project is a web application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Restaurant Data Analysis And Event Success Prediction 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. This project can edit using a Sypder IDE. Following Python project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Pranjali Rawke. This web application 100% working smooth without any bug. It is developed using python, Machine Learning, Hadoop, Hive and Database hive(with mysql). This software code helpful in academic projects and research paper for final year computer science. To download Restaurant Data Analysis And Event Success Prediction project in Python with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name

Restaurant Data Analysis And Event Success Prediction

Project Complexityadvanced
Duration15 Days
project ID3752
Developer NamePranjali Rawke
Publish DateJune 2, 2020
project PlatformPython
Programming LanguageFor this particular Python project, python, Machine Learning, Hadoop, Hive is required
Front EndGUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
Back EndPython, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
IDE ToolSypder
Database Integrationhive(with mysql)
project Typeweb Application
No of project Download128
project Total View2492
Today Trends171
Current Month Trends178
Last Month Trends50

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Features of the Restaurant Data Analysis And Event Success Prediction project

We will implement the following feature in the Python Restaurant Data Analysis And Event Success Prediction Project:
Events are great opportunity to expand business and network. A well-executed event will provide more with an opportunity to attract clients, engage with colleagues and network with others in the industry. The project focuses on using open source restaurant data for predicting the success of the event. It includes analysing of data and predicting rating of the restaurants which can be concluded to event success based on parameters like food, cost, location and type of restaurants. The project is executed using Zomato API, Big Data Technologies (Hadoop and Hive), Machine learning algorithms (SVC, Decision tree) and Data Visualization tools and techniques(Tableau) .

User modules and function of Restaurant Data Analysis And Event Success Prediction

We will implement the following functionalities in the Python Restaurant Data Analysis And Event Success Prediction 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.

1. extract folder project data

2. import all .py files in spyder

3. run the files one by one

How to import database?

create apI key using zomato api online replace the key in first .py file it will automatically retrive the data

Why a download Restaurant Data Analysis And Event Success Prediction project from kashipara?

Downloading the Restaurant Data Analysis And Event Success Prediction 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.

Top benifit to Download our project over other website:

  • Our Restaurant Data Analysis And Event Success Prediction Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
  • Free Download our Restaurant Data Analysis And Event Success Prediction projects.
  • Comprehensive Documentation:
    • We provide project Synopsis
    • Restaurant Data Analysis And Event Success Prediction project Abstract in PDF and PPT formats download in reports.
    • Detailed Project Report
  • UML & Technical Diagrams Included:
  • This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
  • 100% Working Project – Tested and bug free.
  • Developed for Learning & Research – A strong foundation for building advanced Restaurant Data Analysis And Event Success Prediction applications

How to create diagram?

Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

Restaurant Data Analysis And Event Success Prediction project output screen

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