Welcome to the CI Guide repository! This repository serves as a comprehensive collection of tutorials and resources to help you navigate the vast landscape of data science and artificial intelligence (AI) concepts. Whether you're a beginner or an experienced practitioner, this guide is designed to provide valuable insights, practical examples, and resources to enhance your understanding and proficiency in these domains.
In the tutorials section, you will find a wide range of tutorials covering various data science and AI topics. Each tutorial is carefully crafted to provide clear explanations, step-by-step instructions, and hands-on examples. Here are some of the tutorials available:
- Data Science: A beginner-friendly tutorial introducing the core principles, processes, and tools used in data science.
- Machine Learning: TBA
- Deep Learning: TBA
- Natural Language Processing (NLP): TBA
I am continuously adding new tutorials to cover a broader range of data science and AI topics. Feel free to explore these tutorials and expand your knowledge in these exciting fields.
I welcome contributions to enrich this guide with new tutorials and additional resources. If you have a tutorial or resource recommendation that aligns with the objectives of this repository, we encourage you to contribute. Here's how you can contribute:
- Fork the repository to your GitHub account.
- Create a new branch for your contribution.
- Add your tutorial or resource to the relevant section.
- Commit your changes and push the branch to your forked repository.
- Submit a pull request, and upon review, your contribution shall be merged.
Your contributions will be greatly appreciated and acknowledged.