Roh Donghyun

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03. Introduction to ML

03. Introduction to ML

Jun 14, 20261 min read

머신러닝 입문: 회귀·분류, 모델 평가, 트리·앙상블, 군집화, 전처리.

19 items under this folder.

  • Sep 21, 2025

    14. Bagging and Random Forest

    • introduction-to-ml
  • Sep 21, 2025

    01. Bias-Variance Trade-off

    • introduction-to-ml
  • Sep 21, 2025

    15. Boosting

    • introduction-to-ml
  • Sep 21, 2025

    08. Bootstrap

    • statistics
  • Sep 21, 2025

    17. Clustering

    • introduction-to-ml
  • Sep 21, 2025

    07. Cross-validation

    • introduction-to-ml
  • Sep 21, 2025

    19. Data Preprocessing Process

    • introduction-to-ml
  • Sep 21, 2025

    13. Decision Trees

    • introduction-to-ml
  • Sep 21, 2025

    11. Dimension Reduction

    • introduction-to-ml
  • Sep 21, 2025

    04. Discriminant Analysis

    • introduction-to-ml
  • Sep 21, 2025

    09. Feature Subset Selection

    • introduction-to-ml
  • Sep 21, 2025

    06. Hyperparameter

    • introduction-to-ml
  • Sep 21, 2025

    02. Linear Regression

    • introduction-to-ml
  • Sep 21, 2025

    03. Logistic Regression

    • introduction-to-ml
  • Sep 21, 2025

    05. Model Evaluation Metric

    • introduction-to-ml
  • Sep 21, 2025

    12. Non-Linear Regression Model

    • introduction-to-ml
  • Sep 21, 2025

    18. Overview of Data Preprocessing

    • introduction-to-ml
  • Sep 21, 2025

    10. Regularization

    • introduction-to-ml
  • Sep 21, 2025

    16. Support Vector Machines

    • introduction-to-ml

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