Assigment#6_BD107-EARLY_SURLIANA_PUTRI-2681495042

• Checklist Questions:
  1. Describe the steps of the k-Means clustering algorithm. What does the ‘k’ represent?
  2. Why is dimensionality reduction useful in machine learning?
  3. Provide a real-world application for clustering (e.g., customer segmentation).
  4. What is the main objective of PCA?

STATUS : 100%

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