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Machine Learning

Some simple machine learning functions are implemented

DataSet

The dataset we use is MNIST and also classic Spam dataset

Functions that we implemented

  • Linear Regression
  • Logistic Regression
  • Back Propagation Neural Network
  • Ridge Regression
  • Linear & Logistic Regression with Newton method
  • Least Square Classification
  • Support Vector Machine (SVM)
  • Decision Tree & Random Forest
  • Kernel Tricks (Gaussian and Polynomial)
  • Kmeans (Lloyd's algorithm)
  • Priciple Component analysis (PCA) with Latent Factor Model
  • MSE for joker recommendation

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Some simple machine learning functions are implemented

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  • Python 100.0%