Session
From Data to Decisions: Building Simple Machine Learning Models with Python
Machine Learning is transforming industries, but many developers find it difficult to get started due to complex theory and overwhelming tools.
This session provides a practical and beginner-friendly introduction to Machine Learning using Python. We’ll break down key concepts and demonstrate how to build a simple predictive model step-by-step using popular libraries like pandas, scikit-learn, and matplotlib.
Participants will learn how to:
Prepare and clean data
Train a basic machine learning model
Evaluate performance
Interpret results for real-world decision-making
We’ll focus on real-world use cases relevant to Africa, such as health, finance, or education, making the learning experience relatable and impactful.
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