Learning-Data-Science

Welcome to my data science learning journey! This repository serves as a collection of my code, notes, and projects as I dive into the world of data science from scratch.

• About
  • Built With
• Getting Started
• Usage
  • Cloning
  • Step by Step Guide
• Support
• Project assistance
• Contributing
• Authors & contributors
• Acknowledgements
• License

---

About

In this repository, I'm documenting my learning process as I explore the various aspects of data science. From foundational concepts to advanced techniques, this journey is all about gaining a solid understanding of data manipulation, analysis, visualization, and machine learning.

Built With

Languages

• Python
• R

Technologies

• Jupyter Notebook

Getting Started

Usage

Cloning

Just clone if you need the copy in your device.

git clone https://github.com/Samia35-2973/Learning-Data-Science.git

Step by step guide

Coming Soon!

Support

Reach out to the maintainer at one of the following places:

• GitHub issues
• Contact options listed on this GitHub profile

Project assistance

If you want to say thank you or/and support active development of Learning Data Science:

• Add a GitHub Star to the project.
• Tweet about the Learning Data Science.
• Write interesting articles about the project on Dev.to, Medium or your personal blog.

Together, we can make Learning Data Science better!

Contributing

First off, thanks for taking the time to contribute! Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make will benefit everybody else and are greatly appreciated.

Thank you for being involved!

Authors & contributors

The original setup of this repository is by Samia Haque Tisha.

For a full list of all authors and contributors, see the contributors page.

Acknowledgments

I would like to express my heartfelt gratitude to the following individuals, courses, and resources that have played a pivotal role in my journey to learn data science:

• Kaggle Courses: I extend my sincere thanks to Kaggle for providing exceptional data science courses that have helped me build a strong foundation in this field.

• YouTube Tutorials:

  • Krish Naik: Krish Naik's educational and insightful tutorials have been instrumental in deepening my understanding of various data science concepts.
  • Codebasics: The tutorials from the Codebasics YouTube channel have been a valuable resource for practical data science knowledge.
  • freeCodeCamp: freeCodeCamp's data science tutorials and community have been a constant source of inspiration and learning.

• Websites:

  • w3schools: The w3schools website has been a go-to resource for expanding my knowledge of programming languages and web technologies, which are integral to data science.
  • AI like ChatGPT (OpenAI): AI models like ChatGPT have provided assistance and answers to numerous questions, making my learning journey more interactive and efficient.

• Samia Haque Tisha: Last but not least, I am proud of my own dedication and progress in the world of data science.

I am grateful for the wealth of knowledge, guidance, and support these resources have provided. They have been instrumental in helping me acquire the skills and knowledge necessary for a successful career in data science.

As I continue to learn and grow, I look forward to applying this knowledge in practical projects and contributing to the data science community.

Thank you to all the individuals and organizations that have made this journey possible.

License

This project is licensed under the MIT license.

See LICENSE for more information.