In logistic regression, decision boundary is a line that separates class A from class B let's take a look at an example: from the example...

Classification with logistic regression Today, we will learn about classification, where your output variable y can take on only one of a...

Vectorization When implementing a learning algorithm, using vectorization will both make our code shorter and make it run much more...

Feature Engineering Feature Engineering: using intuition to design new features, by transforming and/or combining original features The...

Feature Scaling Feature scaling is a technique that will enable gradient descent to run faster. let's start by taking a look at the...