Welcome to the JaeHun Gou AI Learning repository! 🚀
This repository serves as a comprehensive resource for individuals passionate about advancing their knowledge in the realms of Machine Learning and Deep Learning, with a focus on diverse datasets. Whether you are a beginner eager to explore the fundamentals or an experienced practitioner seeking advanced concepts, we've got you covered!
Here, we emphasize learning through various datasets in the domains of Machine Learning and Deep Learning.
- Structured Learning Paths: Follow our curated learning paths designed to take you from the basics to advanced AI concepts, incorporating hands-on experiences with real-world datasets.
- Diverse Topics Covered: Immerse yourself in the world of Machine Learning and Deep Learning, including exploration of datasets from sources like UC Irvine Machine Learning Repository and Kaggle. Topics span computer vision, natural language processing, and reinforcement learning.
- Hands-On Projects: Apply your knowledge by working on hands-on projects provided within the repository, featuring datasets from UC Irvine Machine Learning Repository, Kaggle, and more.
- Community-driven Content: Benefit from the collective knowledge and insights of our vibrant AI community, which actively contributes to the exploration and understanding of diverse datasets.
- sweetviz: new open-source Python library called Sweetviz takes pandas dataframes and creates a self-contained HTML report. https://towardsdatascience.com/powerful-eda-exploratory-data-analysis-in-just-two-lines-of-code-using-sweetviz-6c943d32f34