Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Within each content area, there are one or more tutorials. Each tutorial consists of lessons. Each lesson should be a page detailing the concept being taught, along with sample code. Lesson and page ...
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Released in April 2025, the book has sold over 2,000 copies and seeks to make coding approachable for children, especially as ...
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...