A machine learning library in python, written from scratch.

Requirements:

• numpy: for handling matrices/vectors

Features:

• Optimization Methods:
  • Gradient Descent
    • Batch
    • Minibatch
    • Stochastic
  • Newton's Method
• Regression:
  • Linear Regression
    • Optimization Method
    • Normal Equations Method
    • Regularization (L1/L2)
• Classification:
  • Logistic Regression
    • Optimization Method
    • Normal Equations Method
    • Regularization (L1/L2)
  • k-Nearest Neighbors
    • L1, L2, L∞ norms