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Online Machine Learning Tutorial: Build a Neural Network with scikit-learn

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About this event

What to expect

Learn to build your first artificial neural network for spam detection in this hands-on machine learning tutorial designed for beginners and intermediate learners. Led by Aurelie, an MSc Artificial Intelligence graduate from the University of Limerick, this 60-minute online session will guide you through creating a practical spam classifier using scikit-learn's neural network capabilities.

What You'll Build

You'll develop a working spam detection model using an Artificial Neural Network (ANN) trained on a real Spam and Ham dataset. The session covers the complete machine learning pipeline — from data exploration and cleaning through preprocessing and model training. You'll leave with a fully functional classifier and the knowledge to adapt it for your own classification projects.

Format & Structure

This live tutorial takes place on Zoom and uses Google Colab, eliminating any local setup requirements. Simply sign in with your Google account to access the shared Jupyter notebook containing all code, explanations, and documentation. Aurelie will walk through each step in real-time, making it easy to follow along and ask questions as you build.

The session is structured to be accessible to those with basic Python familiarity, though no programming experience is strictly required. Scikit-learn abstracts much of the complexity, allowing you to focus on understanding the concepts and workflow rather than getting lost in technical implementation details.

What You'll Need

  • A laptop with internet connection
  • A Google account for Colab access
  • The Zoom link (sent to registered attendees)
  • Optional: basic familiarity with Python or any programming language

What You'll Take Away

You'll receive a complete, reusable Jupyter notebook that you can adapt for future classification tasks. The hands-on experience will give you confidence to experiment with neural networks on your own datasets, and you'll understand the essential steps of data preprocessing, model training, and evaluation that apply across machine learning projects.

Who Should Attend

This tutorial suits aspiring data scientists, developers curious about machine learning, students exploring AI applications, or anyone interested in building practical models without getting overwhelmed by theory. The small-group format that Aurelie runs monthly in Dublin ensures you'll have opportunities to engage directly and get help when needed.

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