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Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

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TRAORE-07/Supervised-Learning-Models

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Supervised-Learning-Models

Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

  1. Programming Language:
  • Python
  1. Most frequent libraries:
  • Pandas
  • Numpy
  • Sklearn
  • Matplotlib

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Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

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