Classification Algorithms:

1. Implementing a perceptron learning algorithm in Python
   -> An object-oriented perceptron API
   -> Training a perceptron model on the Iris dataset
   
2. Adaptive linear neurons and the convergence of learning
   -> Minimizing cost functions with gradient descent
   -> Implementing an Adaptive Linear Neuron in Python
   -> Improving gradient descent through feature scaling
   -> Large scale machine learning and stochastic gradient descent

Plot of perceptron decision regions