parent topic: Python and Data Science
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Python and Data Science: Machine Learning: Theory

  • Machine learning: theory
  • Overview of methods
  • Example datasets and tasks
  • Libraries
  • Supervised learning procedure
  • Iris dataset
  • Example: Iris classification
  • Algorithms for supervised learning
  • Linear regression
  • Neural networks
  • Classification algorithms
  • Example: iris classification with various algorithms
  • Preparing data
  • Example: loading and preparing iris data
  • Model validation and selection
  • Basic validation metrics
  • Classification metrics
  • Overfitting
  • Example: iris validation in scikit-learn
  • Iris classification in scikit-learn - complete