Machine Learning
2 chapters
Data Preparation
2/2
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Data Preparation
Machine Learning module 2 focuses on data preparation in a practical engineering context.
Learning objectives
- Explain the role of data preparation in a complete artificial intelligence workflow.
- Apply the technique to a small, testable implementation.
- Evaluate trade-offs and communicate a production-minded decision.
Practice
Build a focused exercise for Machine Learning, review the result against the module goals, and record one improvement for the capstone.
No problem loaded. Use the coding practice section for challenges.