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ml-study's Introduction

ml-study

1. Machine Learning

This is a repository for studying machine learning.

1. pandas and numpy

2. scikit-learn

3. evaluation

  • confusion matrix
  • accuracy
  • precision
  • recall
  • f1 score
  • roc_auc

4. classification

  • decision tree
  • ensemble model
    • random forest
    • gradient boosting
    • xgboost
    • lightgbm
  • stacking with ensemble model
  • hyperparameter tuning
    • grid search
    • random search
    • bayesian optimization

5. regression

  • gradient descent
    • linear regression
    • ridge regression
    • lasso regression
    • logistic regression
  • tree regression

ml-study's People

Contributors

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Watchers

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