Supervised Machine Learning

 In Supervised Machine Learning output prediction will be done based on either mathematical or probabilistic approaches , based on output data type the supervised learning problems are classified in to two types

  1. Regression (Numerical data)
  2. Classification (Categorical data)
Algorithms:

below are the algorithms available for Supervised Machine Learning:


Metrics:

Metrics are measure of how good our model is performing during training and testing phases.

below are the metrics available for Regression and Classification problems




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