About

PyLearn is a small project providing basic machine learning features from scratch.

It refrains from using popular libraries such as Tensorflow or Pycharm.

Everything is based on Numpy, Pandas, …

• Release notes
• Usage
  • Installation
    • Importing PyLearn
  • Usage
    • Save and Load Models
    • Normalization
    • Train and test Data
    • Evaluation Metrics
    • Mean Squared Error
    • Sum of Squared Errors
    • One-Hot Encoding
    • Classification
      • Gaussian Naive Bayes
      • Multinomial Naive Bayes
    • Clustering
      • K-Means
      • K-Medoids
      • Gaussian Mixture Model
    • Neural Network