Looking for a space to jam with other data enthusiasts? Then we'll be happy to welcome you into our code-with-me sessions! 💪
At the Data-Centric AI Community, we get together every other Thursday to discuss the latest trends in data science and machine learning. In each session we try out something new and build a small project together!
How does it work? It's super simple!
- Join us on Discord and check the Calendar for our next session!
- Prepare your computer to follow along the tutorial
- When the time comes, join the voice channel 🧠*-code-with-me*
- Ask as many questions as you want, by chat or voice, and enjoy!
If you have a cool idea for a new code-with-me session or you'd like to host one, you call leave us a comment on the Discord channel too!
- What did we do?: In this session, we discussed the key skills that data scientists need to showcase in their data portfolios to get that data science job they've been dreaming of!
- Session: Youtube Session
- Slides: Session Slides
- Code: DataCamp Workspace
- You can create a free DataCamp account to access the workspace
- What did we do?: In this session explored how to use the FiftyOne toolset to achieve high-quality computer vision datasets and models. We went through the basics of exploring the FiftyOne app, from loading the data to generating and evaluating models.
- Session: Youtube Session
- Code: Jupyter Notebook
- Nice Reads:
- What did we do?: In this session we talked about Large Language Models (LLMs) and used llama-index and langchain to create a multi-document LLM App!
- Session: Youtube Session
- Code: Jupyter Notebook
- Nice Read: Combine and Query Multiple Documents with LLMs
- What did we do?: In this session, we talked about synthetic data and played with a generative model based on Gaussian Mixture Models (GMMs) incorporated in ydata-synthetic.
- Session: Youtube Session
- Nice Read: Synthetic data generation with Gaussian Mixture Models