This repository contains a collection of machine learning projects developed by [Your Name].
- 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
- Clone the repository:
To use any of the projects in this repository, follow these steps:
-
Clone the repository:
git clone https://github.com/your-username/ml-projects.git
-
Navigate to the project directory:
cd ml-projects/Project_Name
-
Follow the specific instructions provided in the project's README file for setup and execution.
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
This repository is licensed under the MIT License.
This markdown template should render correctly with proper formatting in your README file.