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ML-Algorithms

Description

  • self implemented ML algorithms without sklearn

Contents

  • Linear Regression : predicting quality of redwine on scale 1-10 given the composition of each components.
  • Logistic Regression : predicting if a person has hepatitis or not
  • Neural Network : Letter recognition using some info about each Letter (Very Bas accuracy though - can ignore xD)
  • classification decision tree - Prediction of celestial bodies(GALAXY,STAR,QUOS) using decision tree (GINI univariate splitting)
  • SVM - Breast Cancer prediction. Using SVM ( KERNELS , SMO algorithm ) to acheive 97% accuracy
  • Percepton - banknote authentication

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