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📅 Week 2 Focus: Kickoff & Project Setup

We’re re-starting our third 7-week cycle — time to launch a fresh project. 📅 Week 2 Focus: Data, EDA & Features This week is all about: 🔍 Finding or collecting your dataset — scrape it, query an API, or use an open source source 📊 Running quick EDA to understand the shape and story of your data 🧠 Starting basic feature engineering to prep for modeling You don’t need perfect data — just enough to explore, learn, and iterate. Let’s dig in!

🚀 Build & Learn: Data Science Meetup --- With Coffee 💡 Always wanted to build a data science project but struggle to start? Or just looking for a structured, motivating space to learn and create? This isn’t just a casual meetup—it’s a community-driven program designed to help you go from idea → working project → portfolio-ready presentation in 7 weeks.

🛠 What This Meetup Is About Build & Learn is a creative learning space for people who want to actually finish data projects — and grow their skills in a collaborative, motivating way.

You can choose your path: 🔹 Full Project Track (7 weeks): Go from idea → working project → portfolio-ready presentation. Perfect for building something real and getting weekly accountability.

🔹 Self-Learning Track (Flexible): Don’t have 7 weeks? No problem. Pick a concept you’ve always wanted to learn (e.g. clustering, causal inference, LLMs), do a deep dive, and present your learnings or a mini-build to the group. It’s short, focused, and fully peer-supported.

📌 You’ll walk away with: 🎯 A working project to add to your portfolio, blog , GitHub, or resume 🎯 definitely some caffeine in your system ☕

💡Not sure what to build ? You don’t need to show up with a fully formed idea — just curiosity. We’ll help you explore different paths based on your time, interests, and goals: 🔹 Full Project Track – Build something from scratch over 7 weeks 🔹 Self-Learning Track – Deep dive into a concept and present what you learned 🔹 Pro Bono Track (coming soon) – Work on real problems from real businesses (like a mini consulting project!)

(We’ll share inspiration and example ideas at the event — or you can bring your own.)

✨ 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 applications. 📅 When? Saturday , July 26 10:00 AM- 12:00 PM 📍 Where? : Mindspace, Skalitzerstraße (Coworking Space, Kreuzberg) We’ll experiment with different spots over the next few weeks — if you know a great venue or want to host, let me know! 💻 Bring: Your laptop, an idea, or just curiosity! 👩‍💻 **No experience needed—just curiosity.**Grab a coffee, meet cool people, and work on something fun.

Join us for an evening of networking and exploration at our kickoff meeting for NYC AI from Scratch Mastermind! This interactive event is perfect for AI and machine learning enthusiasts, open-source contributors, and entrepreneurs looking to explore the potential of artificial intelligence in business. All are welcome regardless of experience with AI, as long as you have an eagerness to learn.

In this meetup, we will delve into the revolutionary world of AI, both its theory and its practical applications. Our expert speakers will provide insights into different algorithms, tools, and areas of application. Whether you are new to AI or already have experience, this event will offer something for everyone.

Our first event will provide some context for how we've found ourselves here in 2024: we'll give a whirlwind history of AI, explain what models and technologies are encompassed by AI, explain in broad strokes how it works, and give an overview of the movers and shakers in the world of AI today. And we will discuss where AI is poised to go in the coming year, and the role it could play in your life soon.

Additionally, this meetup provides an excellent opportunity for entrepreneurs to connect with like-minded individuals and exchange ideas on how to leverage AI for business growth. You'll have the chance to network with professionals from various industries and explore potential collaborations or mentorship opportunities. We will also discuss some options for more intensive learning for those who are looking to learn AI in-depth for career or academic purposes, by joining our learning accountability study group.

Don't miss this opportunity to learn, connect, share, and grow alongside fellow AI enthusiasts and industry leaders at the kickoff meeting. Join us to gain valuable insights, expand your network, and stay ahead in the fast-evolving world of artificial intelligence and machine learning.