Data Mining – Unsupervised Learning

Data Mining – Unsupervised Learning

CURRICULUM

  • What is Cluster Analysis?
  • Types of Data in Cluster Analysis
  • A Categorization of Major Clustering Methods
  • Partitioning Methods
  • K means clustering
  • Hierarchical Methods
  • Density-Based Methods
  • Grid-Based Methods
  • Model-Based Clustering Methods
  • Supervised Classification
  • Curse of Dimensionality
  • Dimension Reduction
  • Why Factor or Component Analysis?
  • Principal Component Analysis
  • PCs, Variance and Least-Squares
  • Eigenvectors of a Correlation Matrix
    Factor Analysis
    PCA process Steps
  • Overfitting
  • Regularization
  • The L1 regularization (also called Lasso)
  • The L2 regularization (also called Ridge)
  • The L1/L2 regularization (also called Elastic net)
  • Missing Data Imputation Techniques
  • A/B Testing

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