AI-14 / lumpy-skin-disease-classification

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

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

• Omar Pervez Khan