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Build Your First Machine Learning Model

Join us for an engaging and practical workshop designed for beginners!

2h

Wednesday, October 23 | 18:00h

Techgrounds Amsterdam

About the workshop

Are you ready to dive into the world of machine learning? Join us for an immersive and hands-on workshop where you'll learn the fundamentals of machine learning and build your very first predictive model using Scikit-Learn, one of Python's most popular machine learning libraries.


What to expect:

In this workshop, Noosheen, an experienced data scientist and analyst, will guide you through the core concepts of machine learning and provide practical, step-by-step instructions on building your own model. You'll gain hands-on experience working with real datasets, experimenting with different algorithms, and learning how to evaluate and improve model performance.


πŸ§‘β€πŸ’» Introduction to Machine Learning

πŸ€– Building a Simple Machine Learning Model

🎯 Model Interpretation and Improvement

πŸ‘₯ Q&A


This workshop is designed for beginners with basic programming knowledge in Python and is ideal for anyone interested in data science or machine learning. By the end of the workshop, you'll have the confidence and skills to start building and improving machine learning models on your own!


Reserve your spot now and take your first steps into the exciting world of machine learning!

What will you need

Please bring your laptop with Python installed.

Location

We can’t wait to see you there!


Address: Bijlmerdreef 95, 1102 BP Amsterdam

About the speaker

Noosheen Gholami is a skilled data scientist and analyst with a strong background in improving existing machine learning algorithms. Noosheen has worked extensively on enhancing predictive models to forecast key events in matches. Her expertise spans automating data ingestion and processing, efficient data management, and designing robust data pipelines to ensure smooth and scalable workflows.

Thank you for your interest! This event has already taken place. We look forward to seeing you at future events.