Aklearn
  • A Five Minute Tutorial to Using Aklearn
    • What is this library for?
    • Starting Ingredients
  • Regression Implementation
    • Base Regression
    • Linear Regression
    • K-Nearest Neighbor Regression
    • Poisson Regression
  • Classification Algorithms
    • Base Classifier
    • Logistic Classifier
    • K-Nearest Neighbor Classifier
    • Quadratic Discriminant Analysis
    • Linear Discriminant Analysis
  • Clustering Algorithms
    • Base Clustering Class
    • k-Means Clustering Algorithm
  • Model Evaluation
    • Evaluate Accuracy
    • Evaluate Confusion Matrix
    • Evaluate Regression Error
  • Data Preprocessing
    • Standardize Data
    • Train/Test Split
    • Cross-Validation Folds
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