The GitHub repository titled Classification-Project by manikrishna-m offers an end-to-end implementation of a machine learning classification project. While the repository's README.md provides a brief overview, the project encompasses various components aimed at building and deploying a classification model.

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🔍 Project Overview

This repository demonstrates a comprehensive approach to a machine learning classification task, including data preprocessing, model development, and deployment. The project is structured to facilitate reproducibility and scalability, making it suitable for various classification problems.

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⚙️ Key Components

• Data Handling: Organizes and processes datasets to prepare them for model training.
• Model Development: Utilizes machine learning algorithms to build classification models.
• Deployment: Includes scripts and configurations for deploying the model as a web application.
• Version Control: Employs GitHub workflows for continuous integration and delivery.

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📁 Repository Structure

The project is organized into several directories and files:

• data/: Contains datasets used for training and evaluation.
• notebooks/: Houses Jupyter notebooks for exploratory data analysis and model experimentation.
• src/: Holds source code for data processing, model training, and evaluation.
• templates/: Includes HTML templates for the web application interface.
• .github/: Contains GitHub Actions workflows for automation.
• app.py: The main application file for the deployed model.
• requirements.txt: Lists Python dependencies for the project.
• setup.py: Script for setting up the project environment.
• Dockerfile: Configuration file for containerizing the application.
• template.py: A template script for model training and evaluation.([GitHub][1])

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🚀 Getting Started

To run the project locally:

1. Clone the Repository:

   git clone https://github.com/manikrishna-m/Classification-Project.git
   cd Classification-Project

2. Set Up the Environment:

   pip install -r requirements.txt

3. Run the Application:

   python app.py

This will start the web application, allowing you to interact with the classification model.([GitHub][2])

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📄 License

The project is licensed under the MIT License, allowing for free use, modification, and distribution.

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