Data Science Learning

Welcome to the Data Science Learning repository! This repository contains my initial explorations in data science using scikit-learn.

Installing Miniconda3

Follow these steps to install Miniconda3 on macOS:

1. Create a directory for Miniconda3:

   mkdir -p ~/miniconda3

2. Download the Miniconda3 installation script:

   curl -L https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o ~/miniconda3/miniconda.sh

3. Run the installation script:

   bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3

4. Remove the installation script:

   rm ~/miniconda3/miniconda.sh

5. Initialize Miniconda3 with your shell:

   ~/miniconda3/bin/conda init zsh

6. Reload the shell configuration:

   source ~/.zshrc
   

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. Follow these simple steps:

1. Visit the scikit-learn website to familiarize yourself with the framework if you haven't already.
2. Ensure that Python (preferably a version that scikit-learn supports) is installed on your system.
3. Install scikit-learn using pip, which is a package manager for Python. You can do this by running the following command in your terminal:
4. Optionally, you can create a virtual environment to keep the dependencies required by the project separate from your global Python environment:

Contributing

Contributions are welcome! If you have your own Beamer presentations, templates, or resources to add:

1. Fork the repository.
2. Create a new branch with a descriptive name for your contributions.
3. Add your files to the appropriate directories.
4. Commit your changes with a meaningful commit message.
5. Push the changes to your fork.
6. Submit a pull request to the main repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Thanks to the creators and contributors of scikit-learn for providing the tools necessary for this data science journey.