Nur Fadhilah
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Section 12: K-Means Clustering

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Nur Fadhilah
·Sep 30, 2021

So far we have done supervised learning. The remaining sections will be on unsupervised learning. Below is a quick guide on how to pick the estimator:

scikit-learn-algo.jfif Source: scikit-learn

Unsupervised Learning: (1) Clustering: Using features, group together data rows into distinct clusters (2) Dimensionality Reduction: Using features, discover how to combine and reduce into fewer components

Supervised learning's performance metrics (RMSE or Accuracy) will not apply for unsupervised learning.

References:

18_ml_12_30Sep21.png

 
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