/ML-Projects

Primary LanguageJupyter Notebook

ML Projects Repository

This repository contains a collection of machine learning projects developed by [Your Name].

Projects

Project Name 1

  • Description: This project aims to predict whether an underwater object detected by a sonar signal is a rock or a mine. It utilizes machine learning algorithms to classify sonar returns as either "R" (rock) or "M" (mine).
  • Technologies: Python, scikit-learn, numpy, pandas
  • Dataset: The dataset used for training and testing is the "Copy of sonar data.csv" dataset from the UCI Machine Learning Repository.
  • Results:
    • Training Accuracy: 83.42%
    • Test Accuracy: 76.1%
  • How to Run:
    • Clone the repository: git clone https://github.com/your-username/ml-projects.git
    • Navigate to the Sonar Prediction project directory: cd ml-projects/Sonar_Prediction

Usage

To use any of the projects in this repository, follow these steps:

  1. Clone the repository:

    git clone https://github.com/your-username/ml-projects.git
  2. Navigate to the project directory:

    cd ml-projects/Project_Name
  3. Follow the specific instructions provided in the project's README file for setup and execution.

Contributing

Contributions are welcome! If you'd like to contribute to this repository, please follow these guidelines:

  • Fork the repository
  • Create your feature branch (git checkout -b feature/YourFeature)
  • Commit your changes (git commit -am 'Add some feature')
  • Push to the branch (git push origin feature/YourFeature)
  • Create a new Pull Request

License

This repository is licensed under the MIT License.


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