In Python, function wrappers are called decorators, and they have a variety of useful applications in data science. This guide covers how to use them for managing model runtime and debugging.
Mean normalization is the process of calculating and subtracting the mean for every feature in a machine learning model and is used in feature scaling. Learn how it works.
Converting a JavaScript string into a number is useful for comparing numerical data that comes in string format and completing math operations. Here are seven methods to do it.
The derivative of the sigmoid function is the sigmoid function multiplied by one minus the sigmoid function and is used in backpropagation. Learn how to calculate it.
Seaborn Pairplot is a Python data visualization library that allows you to plot pairwise relationships between variables within a data set. Here’s how to use it.
JSON web token (JWT) is an open standard used to safely share encrypted information between a client and a server. Learn how to decode JWT using Python.
