/ML-Toolkit

A collection of common Machine Learning templates and examples for building effective models.

Primary LanguageJupyter Notebook

ML Toolkit

A collection of common Machine Learning templates and examples for building effective models.

Topics

  • Data Preprocessing
    • 1. data_preprocessing_tools
  • Regression
    • 2. simple_linear_regression
    • 3. multiple_linear_regression
    • 4. polynomial_regression
    • 5. support_vector_regression
    • 6. decision_tree_regression
    • 7. random_forest_regression
  • Classification
    • 8. logistic_regression
    • 9. k_nearest_neighbors
    • 10. support_vector_machine
    • 11. kernel_svm
    • 12. naive_bayes
    • 13. decision_tree_classification
    • 14. random_forest_classification
  • Clustering
  • Association Rule Learning
  • Reinforcement Learning
  • Natural Language Processing (NLP)
  • Deep Learning
  • Dimensionality Reduction
  • Model Selection