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    4. CROP PREDICTION USING MACHINE LEARNING

    CROP PREDICTION USING MACHINE LEARNING project in Python.

    Python project   Last updated on - August 18, 2020
    crop-prediction machine-learning python
    Alfa Hack
    Alfa Hack
    python Cyber Security Ethical Hacking IOT C 
    Discussion
    2 Reviews
    4
    0 Favorite
    18220 View
    1289 Downloads
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    In this page CROP PREDICTION USING MACHINE LEARNING project is a desktop application which is developed in Python platform. This Python project with tutorial and guide for developing a code. CROP PREDICTION USING MACHINE LEARNING 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 JUPYTER NOTEBOOK 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 Alfa Hack. 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 and research paper for final year computer science. To download CROP PREDICTION USING MACHINE LEARNING 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.

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    About project

    project Name

    CROP PREDICTION USING MACHINE LEARNING

    Project Complexityadvanced
    Duration15 Days
    project ID3966
    Developer NameAlfa Hack
    Publish DateAugust 18, 2020
    project PlatformPython
    Programming LanguageFor this particular Python project, Python 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 ToolJUPYTER NOTEBOOK
    Database IntegrationLocal storage
    project Typedesktop Application
    No of project Download1289
    project Total View18220
    Today Trends913
    Current Month Trends968
    Last Month Trends205

    You have any error or you don't understand project follow or any other problem.You can ask question. you know any answer or solution then give a answer and help other student.Complete they project perfectly.

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    Download CROP PREDICTION USING MACHINE LEARNING source code at free of cost. Download link provide below.

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    File size 0.0737 MB

    Project Share and Earning Policy

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    Download CROP PREDICTION USING MACHINE LEARNING Document PDF link below

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    File size 2.1282 MB

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    Download Diagrams :
    Class Diagrams
    Use Case Diagrams
    Entity–relationship(ER) Diagrams
    DFD Diagrams
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    Features of the CROP PREDICTION USING MACHINE LEARNING project

    We will implement the following feature in the Python CROP PREDICTION USING MACHINE LEARNING Project:
    We can find out the crop prediction using the machine learning using this kind of models and most helpful for farmers.

    User modules and function of CROP PREDICTION USING MACHINE LEARNING

    We will implement the following functionalities in the Python CROP PREDICTION USING MACHINE LEARNING 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 code into jupter notebook

    How to import database?

    database is already in the .csv format.

    Why a download CROP PREDICTION USING MACHINE LEARNING project from kashipara?

    Downloading the CROP PREDICTION USING MACHINE LEARNING 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 CROP PREDICTION USING MACHINE LEARNING Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
    • Free Download our CROP PREDICTION USING MACHINE LEARNING projects.
    • Comprehensive Documentation:
      • We provide project Synopsis
      • CROP PREDICTION USING MACHINE LEARNING 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 CROP PREDICTION USING MACHINE LEARNING applications

    Watch Demo Video

    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:

    Download Diagrams :
    Format Of Report
    Class Diagrams
    Use Case Diagrams
    Entity–relationship(ER) Diagrams
    DFD Diagrams
    Sequence Diagrams

    CROP PREDICTION USING MACHINE LEARNING project output screen

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