Atificial Intelligence

This repository is intended for basic Artificial Intelligence algorithms that can be used as models.

Some implementations have been taken from online courses such as "Machine Learning A-Z ™: Hands-On Python and R In Data Science" (from SuperDataScience).

The folder sequence expected:

• Atificial Intelligence
  • Machine Learning
    • Supervised Learning
      • Regression
        • Multiple Linear Regression
        • Polynomial Linear Regression
        • Simple Linear Regression
        • Support Vector Regression
      • Classification
        • K-NN
        • Logistic Regression
    • Unsupervised Learning
      • Clustering
        • K-Means
      • Association Rule Learning
      • Dimensionality Reduction
    • Ensemble Learning (Basics)
      • Stacking
      • Bagging
      • Boosting
    • Reinforcement Learning
    • Neural Networks and Deep Learning
      • Convolutional Neural Networks
      • Recurrent Neural Networks (Fix repository)
      • Generative Adversarial Networks
      • Autoencoders (Next addition)
      • Perceptrons
      • Extreme Learning Machines
  • Search Agents