/Python-Based-Image-Classification-and-Validation-Framework

Machine learning framework using the MNIST dataset, which a set of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau.

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Python-based Image Classification and Validation Framework with Scikit-learn

Machine learning framework using the MNIST dataset, which a set of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau.

ml1

The learning pipeline utilizes the SciKit-Learn tools and , thus, involves:

  • binary classifiers
  • confusion matrix
  • precision and recall
  • ROC curve
  • multi-class classification
  • error analysis
  • multi-label classification
  • multi-output classification

ml3

ml2