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Machine Learning Essentials
A 3-day hands-on program designed to equip participants with essential Machine Learning (ML) knowledge and practical coding experience. The course covers end-to-end ML workflows — from data preprocessing, feature engineering, and model training to evaluation and optimization. Participants explore key techniques including Regression, Classification, and Clustering, guided through coding exercises using Python and Scikit-learn. The program includes a mini-project where learners design, train, and test a predictive ML model based on real datasets to demonstrate real-world problem-solving. By the end of the program, participants will understand how to apply ML methods responsibly and effectively in their professional domains, forming a strong foundation to progress into advanced AI and data science programs
Open to professionals, educators, and students in STEM, IT, or analytical roles.No prior programming experience needed (Python basics provided)
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