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Iris Data Analysis | Data Analysis & Machine Learning In Python project in Python.

Python project   Last updated on - March 2, 2020
python data-analysis iris-data-analysis
Amogh Kawle
Amogh Kawle
Python HTML BootStrap java Tableau 
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In this page Iris Data Analysis | Data Analysis & Machine Learning In Python project is a web application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Iris Data Analysis | Data Analysis & Machine Learning In Python 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 Google Colab 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 Amogh Kawle. This web application 100% working smooth without any bug. It is developed using Python And Data Analysis , Machine Learning and Database Csv . This software code helpful in academic projects and research paper for final year computer science. To download Iris Data Analysis | Data Analysis & Machine Learning In Python 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

Iris Data Analysis | Data Analysis & Machine Learning In Python

Project Complexityadvanced
Duration15 Days
project ID3570
Developer NameAmogh Kawle
Publish DateMarch 2, 2020
project PlatformPython
Programming LanguageFor this particular Python project, Python And Data Analysis , Machine Learning 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 ToolGoogle Colab
Database IntegrationCsv
project Typeweb Application
No of project Download192
project Total View3445
Today Trends210
Current Month Trends236
Last Month Trends22

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Features of the Iris Data Analysis | Data Analysis & Machine Learning In Python project

We will implement the following feature in the Python Iris Data Analysis | Data Analysis & Machine Learning In Python Project:
The Iris flower data set consists of 50 samples from each of three species of Iris Flowers — Iris Setosa, Iris Virginica and Iris Versicolor . The Iris flower data set was introduced by the British statistician and biologist Ronald Fisher in his 1936 paper “The use of multiple measurements in taxonomic problems”. Iris data is a multivariate data set. Four features measured from each sample are —sepal length, sepal width, petal length and petal width, in centimeters. Iris data is publicly available to use and is one of the most widely used data set, mostly by the beginners in the area of Data Science & Machine Learning. It consists of a set of 150 records under 5 attributes — Sepal length, Sepal width, Petal length, Petal width and Class-Labels(Species).

User modules and function of Iris Data Analysis | Data Analysis & Machine Learning In Python

We will implement the following functionalities in the Python Iris Data Analysis | Data Analysis & Machine Learning In Python 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.

Execute all this code as per flow using google colab document .

How to import database?

Use Google Colab Documentation For this.

Why a download Iris Data Analysis | Data Analysis & Machine Learning In Python project from kashipara?

Downloading the Iris Data Analysis | Data Analysis & Machine Learning In Python 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 Iris Data Analysis | Data Analysis & Machine Learning In Python Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
  • Free Download our Iris Data Analysis | Data Analysis & Machine Learning In Python projects.
  • Comprehensive Documentation:
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    • Iris Data Analysis | Data Analysis & Machine Learning In Python 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 Iris Data Analysis | Data Analysis & Machine Learning In Python 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:

Iris Data Analysis | Data Analysis & Machine Learning In Python project output screen

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