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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.