classicsml ⛈️🔄📉

classicsml : Classsic Supervised ML # Cost Function # Gradient Descent

Objective

• Implement supervised learning
• Minimized error with cost function
  • SSD (sum of squared differences)
  • SAD (sum of absolute differences)
• Optimized model using gradient descent
  • OLS (ordinary least squares)
• Experiment with learning rates (how they affect training)

Classical ML models with Supervised Learning