Eric-Chung-0511/Learning-Record
Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
This collection of projects and learning records helps data scientists and machine learning engineers understand and apply AI and data science techniques to real-world problems. It takes various forms of raw data—like images, transaction records, and structured datasets—and transforms them into insights, predictions, or intelligent applications. It's intended for data science practitioners, researchers, and anyone looking to deepen their understanding and practical skills in AI and machine learning.
Use this if you are a data science practitioner or student seeking hands-on examples and practical implementations across diverse AI and machine learning domains, including deep learning, computer vision, and traditional machine learning.
Not ideal if you are looking for an out-of-the-box tool or a library to directly integrate into an existing application without needing to understand the underlying data science concepts or code.
Stars
24
Forks
5
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
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