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Machine-Learning

Some Machine Learning algorithms, implemented in python

  • K-Means : Randomly generates points and clusters them.
  • Linear-Regession : Fits a line through 2D points.
  • Naive-Bayes : SMS Spam detection.
  • color-scheme-from-image : Builds a Self Organizing Map on image and derive color scheme.
  • decision-tree : ID3 decision tree to predict car acceptability with xml serialization for model.
  • mining-association-rules : Apriori algorithm to find association rules in retail data.

Some other implementations, in python

  • Backpropagation : A modern neural network having one hidden layer. Find the repository here.

Some other implementations, in Java 8

  • Decision Tree Classifier (ID3) : Determines car acceptability from some properties of the car like price and technical characteristics. Find the repository here.
  • Logistic Regression : Learns the xor (x^y) function Find the repository here.

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Some Machine Learning algorithms that I implemented in python

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