Simple Nearest Neighbors Regression and Classification

In this 2-hour long project-based course, you will delve into the basic principles of the K-Nearest Neighbors (KNN) algorithm and gain practical experience in implementing it for decision making in Python.

What You'll Learn:

• Formulate small examples of KNN classification by hand
• Implement a KNN Classification algorithm in Python
• Implement a KNN Regression algorithm in Python

KNN is a simple and easy-to-implement supervised machine learning algorithm that is widely used for predictive decision-making in both classification and regression problems. Through this course, you will gain the skills to apply KNN for tasks such as predicting loan defaults, company profitability, and market expansion.

Note: This course is best suited for learners in the North America region, with efforts underway to extend the experience to other regions.