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Machine Learning Fundamentals - Coggle Diagram

- - - - Decision Trees
      - Random Forests
      - regression
        
        linear
        
        logistic
      - neural networks
      - SVM
      - KNN
    - - Clustering
        
        K-Means
        
        DBSCAN
        
        Hiearchical Cluster Analysis (HCA)
      - Anomaly detection and novelty detection
        
        One-class svm
        
        Isolation forest
      - Visualization and dimensionality reduction
        
        Principal Component Analysis (PCA)
        
        Kernel PCA
        
        Locally Linear Embedding (LLE)
        
        t-Distributed Stochastic Neighbor Embedding (t-SNE)
      - Association rule learning
        
        Apriori
        
        Eclat
- - - - quantity
        
        insufficient
      - nonrepresentative
      - quality
        
        poor
        
        errors
        
        outliers
        
        noise
      - overfitting
      - underfitting
    - - irrelevant