This model is designed to determine the age of a crab based on its other physical characteristics. Using this model, it is possible to determine the age of a crab through its other data!
MIT License
This model is designed to determine the age of a crab based on its other physical characteristics. Using this model, it is possible to determine the age of a crab through its other data. This project demonstrates the use of various machine learning algorithms and data processing techniques to achieve accurate predictions.
git clone https://github.com/UznetDev/Kabr-prediction.git
cd Kabr-prediction
python -m venv env
env\Scripts\activate
source env/bin/activate
pip install -r requirements.txt
To explore and run the project:
model.ipynb
file in Jupyter Notebook or JupyterLab.README.md
: Provides an overview of the project, installation instructions, and usage guidelines.model.ipynb
: Jupyter Notebook containing the machine learning workflow.test_model.ipynb
: Jupyter Notebook for testing model.requirements.txt
: A list of required dependencies..gitignore
: Specifies files and directories to be ignored by git.This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please fork the repository and submit a pull request for any changes.
Fork the Repository:
Click on the Fork
button at the top right corner of this page to create a copy of this repository under your GitHub account.
Clone the Forked Repository:
git clone https://github.com/UznetDev/Kabr-prediction.git
cd Global-Statistics-Dashboard
Create a New Branch:
git checkout -b feature/YourFeatureName
Commit Your Changes:
git add .
git commit -m 'Add some feature'
Push to the Branch:
git push origin feature/YourFeatureName
Create a Pull Request: Open a pull request to the original repository.
If you have any questions or suggestions, please contact: