/Machine-Learning-Projects

Projects of Machine Learning Course @ University of Tehran

Primary LanguageJupyter Notebook

MAchine Learning Projects

Contents of each project

CA1

  • Bayes Theorem
  • Naiive Bayes
  • Optimal Bayes
  • Maximum Likelihood Estimator
  • MAP Estimator

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CA2

  • MSE
  • Logistic Regression
  • L1/L2 Regularization
  • Overfitting/Underfitting

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CA3

  • Parzen Window
  • Distance Metrics
    • Eulcidean
  • K-Nearest-Neighbour
  • Bias-Variance Tradeoff
  • Multi-Layer Perceptron
  • Decision Tree

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CA4

  • SVM
    • Soft-Margin
    • Hard-Margin
  • Ensemble Learning

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CA5

  • PCA
  • LDA
  • KMeans
  • Gaussian Mixture Model
  • VC Dimensions

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Final Project

  • Voice Classification
  • Voice Clustering

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Supplementary Project

  • Electroencephalography Analysis

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