Build & Learn: Data Science with Coffee [Cohort 6 Image Processing]
Details
📅 Week 3 Focus: Training Your Own Deep Learning Model
Each 7-week cycle focuses on a small, well-defined part of a larger system—and over time, these cycles build toward a complete, real-world project
Feel free to join at any week and we will catch you up. There is no need to be at the beginning of the cohort to build. Complete beginners welcomed!
📌 By the End of a Full Cycle, You should Have
🎯 A working project in your own GitHub repo
🎯 A small but real portfolio piece you can demo or write about
🧠 Current Project
This cycle’s shared project is an image-based knowledge extraction system.
In Week 2, we explored classical computer vision with OpenCV and introduced the full data labeling workflow needed for deep learning models.
In Week 3, we’ll make the jump into modern deep learning with YOLO:
- Quick recap of OpenCV techniques and how they compare to deep learning approaches
- Intuition-first overview of how YOLO works (what it predicts, how training actually happens)
- How labeled datasets are used to train object detection models
- Walkthrough of training YOLO on your own project data
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👋 Who Is This For?
🔹 Beginners who learn best by doing — no prior experience needed
🔹 Career switchers from product, engineering, design, marketing, or other fields who want to break into data
🔹 Analysts, engineers, and PMs looking to sharpen their skills or build real-world projects
🔹 Data professionals who want a creative playground outside of work
🔹 Anyone with big questions and a love for learning through experimentation
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BUILD. LEARN. EXPERIMENT. OVER COFFEE.
Come hang out, meet like-minded people, and work on something fun.
📍 Based in Berlin – in-person meetups only (for now!)
💻 Laptops + ☕ highly encouraged
Join our Discord → https://discord.gg/dPnmzcCP8w
Check out our program resources: Google Drive
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✨ Who’s Hosting?
I’m Lindsey, a senior data scientist working on AI, causal inference, and data products. I’ve built models for fraud detection, uplift modeling, and LLM-based systems. I am always open to suggestion for different format for this meetup.