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Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.

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Lumpy Skin Disease Classification

Course Project: ICS 485/211 - Machine Learning

Table of contents

  1. Description
  2. Installation and Usage
  3. Team Member

Description

Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques. For more info, check Report.ipynb file.

Installation And Usage

  • Requirements:
    • python >= 3.6
  • git clone https://github.com/AI-14/lumpy-skin-disease-classification.git - clones the repository
  • cd lumpy-skin-disease-classification
  • py -m venv yourVenvName - creates a virtual environment
  • yourVenvName\Scripts\activate.bat - activates the virtual environment
  • pip install -r requirements.txt - installs all modules

Team Member

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Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.

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