WorkshopArchive
Repository hosting a series of educational workshops at the University of Florida for 2023-2026 covering topics such as Data Science, Artificial Intelligence and Machine Learning.
Install / Use
/learn @dsiufl/WorkshopArchiveREADME
Workshops Overview
Access workshop content quickly with concise descriptions and recognition of our valued contributors:
| Workshop | Description | Contributors | | -------------------------------------------------------------------- | ------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------- | | Introduction to C | Intro to the C Programming Language. | Raul | | GPU Accelerated Scientific Computing | Intro to GPU Accelerated Workflows. | Raul | | AI Chronicles | Exploring the past, present, and future of AI. | Matt, Jim, Matheus | | Applied Machine Learning | Applied machine learning techniques. | Hunor | | Convolutional Neural Networks | Convolutional Neural Networks for image tasks. | Jim, Matheus | | Git and Github | Essentials of Git for version control. | Zach, Matheus | | Language Models | NLP and advanced language models. | Sebastian, Matheus | | NumPy and MatPlotLib | Numerical computing and data visualization. | Jim, Matheus | | Pandas | Data analysis with Pandas. | Marielle | | Power BI | Data insights using Power BI. | Marc | | PyTorch | Deep learning with PyTorch. | Jim, Matheus | | SQL | SQL database manipulation and querying. | Marc | | Tableau | Data insights using Tableau. | Kyle | | Sentence Transformers | Using Sentence Transformers for Semantic Search. | Tristan | | Intro To Neural Networks | Algorithms needed for Neural Networks | Ishan | | Intro to Web Scraping | Web Scraping data into Python for use. | Patrick | | Intro to R | Introduction to programming in R. | Anjali | | Intro to AI Agents | Building an AI Agent in Python. | Ragul | | Python for NLP | Introduction to NLP concepts with Python | Tristan | | Naive Bayes Spam Filtering | Exploring the theory of Naive Bayes Classification and its application to spam email filtering. | Anjali
How to Contribute
We encourage community contributions:
- Fork the repo.
- Create your feature branch.
- Commit your improvements.
- Push to your branch.
- Submit a PR.
Acknowledgements
Special thanks to all our workshop creators and contributors, as well as our participants who continue to attend the in person sessions.
