Collection of supervised and unsupervised ML algorithms
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MaxSum&SumProduct_algorithms
algorithms
finance
speech
speech_mc
synthetic
vision
README.md
cluster_accuracy.py
compute_accuracy.py
number_clusters.py
run_.sh

README.md

Machine-Learning-Library

Collection of supervised and unsupervised ML algorithms

List of learning algorithms

    Supervised Learning:
  • Perceptron
  • Averaged Perceptron
  • Perceptron with Margin
  • Pegasos: Primal Estimated Sub-Gradient Solver for SVM
  • Adaboost
  • K-Nearest Neighbors
  • Distance weighed K-Nearest Neighbors
    Unsupervised Learning:
  • Lambda Means (similar to K-Means but the number of clusters change as the algorithm proceeds)
  • Naive Bayes Clustering
  • Max Sum Algorithm
  • Sum Product
  • Multi-Class Perceptron