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This intensive bootcamp-style course provides a comprehensive introduction to machine learning concepts and techniques. Covering both theoretical foundations and practical implementation, the course includes supervised and unsupervised learning, classification, regression, clustering, and model evaluation. Students work with Python and popular libraries like scikit-learn to build, train, and test machine learning models. With real-world case studies and hands-on exercises, participants develop a strong grasp of essential algorithms and workflows. This course is ideal for beginners or professionals seeking to upskill in...
Shivgan Joshi
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