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IBM C1000-154 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Preparation and Analysis | - Exploratory data analysis - Data cleaning and preprocessing - Feature engineering basics |
| Data Science Fundamentals | - Types of data and data sources - Data science lifecycle |
| IBM Watson Tools and Platform | - IBM Watson Studio usage - Model development and deployment |
| Data Visualization and Communication | - Communicating insights to stakeholders - Visualization techniques |
| Machine Learning Methods | - Model evaluation and validation - Unsupervised learning - Supervised learning |
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