This is an implentation of an ADAptive LInear NEuron (Adaline) in Python3. The code in this repository is based on the Adaline example given in the book: "Python Machine Learning by Sebastian Raschka".

Batch gradient descent is used to optimise the model. In this method, the weights are updated only after passing the whole training data through the model.

Stochastic gradient descent is used to optimize the model. In this method the weights are updated after each training sample.

Both the Adaline models were trained on the Iris dataset.