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Computational Intelligence Methods in Data Analysis

This repository contains my work for this course at my university.

Original course title: Metody inteligencji obliczeniowej w analizie danych

Contents

  • Neural Network - folder MLP
    • written from scratch in numpy
    • has many features such as:
      • moment, rms prop,
      • softmax and classification with F1 score
      • different activation functions,
      • regularization L1 and L2,
      • early stopping and others,
  • Self Organizing Map - folder SOM
    • rectangular and hexagonal maps
    • neighborhood functions: mexican hat and gaussian
    • decreasing learning rate
  • Genetic Algorithm - folder AE
    • minimize a simple function
    • cutting problem - packing rectangles into a circle
    • training a neural network given it's architecture