GDG on Campus National School of Applied Sciences - Kenitra, Morocco
In this session, participants were introduced to the basics of Python for Machine Learning. They explored Python libraries like NumPy, pandas, and Matplotlib, and practiced using them to preprocess data, analyze datasets, and visualize results.
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This session covered the foundational aspects of using Python for Machine Learning, focusing on its versatility and ease of use. Participants learned about key libraries such as NumPy for numerical computations, pandas for data manipulation, and Matplotlib for data visualization. The session emphasized practical applications, including how to preprocess datasets, handle missing values, and create basic visualizations to understand data patterns. By the end of the session, attendees gained hands-on experience with essential Python tools, preparing them for more advanced machine learning projects.
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