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ML Classifiers

ML classifiers implemented in python for different datasets

The following classifiers are implemented above:

  1. Perceptron (Iris dataset)
  2. Adaline (Iris dataset)
  3. Logistic Regression (Kdd99 dataset)
  4. SVM - Linear, RBF, Polynomial and Sigmoid kernel (Kdd99 dataset)
  5. Decision Tree Classifier (PhishingVsBenignURL dataset)
  6. AdaBoost on Decision Tree (PhishingVsBenignURL dataset)
  7. Linear Regression (Boston Housing dataset)

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ML classifiers implemented in python for different datasets

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