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IBM C1000-177 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Basics | - Model evaluation concepts - Supervised vs unsupervised learning |
| Topic 2: Foundations of Data Science | - Data science concepts and lifecycle - Roles and responsibilities in data science projects |
| Topic 3: Data and Analytics Fundamentals | - Data types and data sources - Data preparation and cleaning basics |
| Topic 4: IBM watsonx Overview | - Introduction to IBM watsonx platform - Use cases in enterprise AI and data science |






