Machine Learning Diploma

Overview

Live Broadcast Times

This live course currently has no available batches and will be launched soon.

Learning Outcomes

• Write Python programs and use key libraries for data analysis.
• Apply foundational mathematical concepts used in data science.
• Clean, transform, and prepare real-world datasets for analysis.
• Implement core machine learning algorithms for regression, classification, and clustering.
• Evaluate and compare ML model performance using standard metrics.
• Build and present ML projects (e.g., house price prediction, breast cancer diagnosis).
• Build and present ML projects (e.g., house price prediction, breast cancer diagnosis).
• Deploy ML models using Gradio for basic application interfaces.

Who should Enroll

• Beginners (No prior ML experience required)

Instructor

Marwan Ahmed

Machine learning and GenAI

1 Training Courses20 Learners

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