First Machine Learning Model covers the foundational concepts and techniques needed to build and validate a machine learning model. This topic is perfect for beginners who want to get hands-on with tools like Scikit-Learn, XGBoost, and Flax. Expect to learn about practical applications such as predicting house prices and handling datasets, along with insights from real-world projects like creating AI employees and training large language models.
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![Math vs AI: Who Decides What's True? [Dr. Paul Lessard]](https://img.youtube.com/vi/TBjCvB_4mdo/mqdefault.jpg)
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Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.
Apply once › get screened › meet the company
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Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
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