To make the most out of these tutorials, you should have a basic understanding of programming concepts and have some experience with Python.

Tasks and updates to the tutorial are managed through issues in this repository. If you have any suggestions, ideas, or find any issues, please check the issues tab. If you don't find your concern listed, feel free to open a new issue.

To get started with the tutorials, you have a couple of options:

Click here to open the notebooks directly in Google Colab. Follow along with the tutorials and execute the code cells in the Colab environment. Use the wines_SPA.csv dataset for regression tasks, with 'price' as the target variable in the dataset.

1. Clone this repository to your local machine.
2. Ensure you have Python installed. If not, download and install it from python.org.
3. Launch Jupyter Notebook from the command line by running jupyter notebook.
4. Use the wines_SPA.csv dataset for regression tasks, with 'price' as the target variable in the dataset.

We welcome contributions from the community to make this tutorial repository better. To contribute, follow these steps:

1. Fork this repository to your GitHub account.
2. Create a new branch for your feature or bug fix: git checkout -b feature-name.
3. Commit your changes with descriptive commit messages: git commit -am 'Add feature: description'.
4. Push your changes to your fork: git push origin feature-name.
5. Open a pull request on the original repository, describing your changes.