What is the difference between Supervised and Unsupervised machine learning models?

Data Science Interview Questions › Category: Data Science › What is the difference between Supervised and Unsupervised machine learning models?
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MockInterview Staff asked 5 years ago

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Paras answered 4 years ago
  • Supervised: All data is labeled and the algorithms learn to predict the output from the input data.
  • Unsupervised: All data is unlabeled and the algorithms learn to inherent structure from the input data.

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Madhuri answered 4 years ago

                         Supervise ML                             Unsupervised ML

  1. Applied for labeled data .                          1. Applied for unlabeled data.
  2. Can make predictions from past data.      2. Can be used to draw some hidden patterns                                                                                                                                                    from the predictor variables.
  3. ex:-Linear Regression,Random Forest.    3. Ex:- K-Means,correlation matrix,Hierarchical clustering.
  4. Uses Trained Data                                    4. Uses entire data Number of classes are known.                 
  5. Number of classes are known.                  5. Number of classes are unknown.

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