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Crop Disease Classification Training Model. This is a one part of the entire project. The complete project is a plant and pest detection mobile app using machine Learning algorithms and computer vision

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Disease Detection

This project aims to detect the presence of a particular disease in a patient using machine learning algorithms. The dataset used for training and testing the models is available in the 'data' directory.

Table of Contents

Dependencies

  • Python 3.x
  • scikit-learn
  • NumPy
  • Pandas
  • Matplotlib

Installation

  1. Clone the repository to your local machine using the following command:
  2. Run the git clone https://github.com/Raymond-ap/disease-detection.git

Usage

Run the 'preprocess.py' script to preprocess the dataset and split it into training and testing sets: python preprocess.py

Contributing

Guidelines on how to contribute to your project.

License

Information about your project's license, including a link to the full text of the license.

Contributor

YOUNOUSSA ABDOURHAMAN
https://github.com/YounoussaBen

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Crop Disease Classification Training Model. This is a one part of the entire project. The complete project is a plant and pest detection mobile app using machine Learning algorithms and computer vision

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