Logistic Regression is used extensively in classification problems. Similar principles to Linear regression apply here and we go through how we implement cost functions and gradient descent for logistic regression problems. We also explore some new concepts. Including optimisation algorithms and some practical Matlab code implementing gradient descent, how to recognise overfitting and underfitting, and regularisation.

‍