Machine Learning in Python: k-Nearest Neighbors Classification
In this campaign we will explore the famous k-Nearest Neighbors (kNN) algorithm. Specifically, we will explore using kNN algorithm to solve classification and regression problems.
📄️ Introduction to Machine Learning: k-Nearest Neighbors
In this quest, you'll learn the basics of kNN from a series of video tutorials
📄️ Practicing k-Nearest Neighbors Classification: Iris Data
In this quest, we would analyse the iris classification flowers
📄️ Practicing k-Nearest Neighbors Regression: Abalone Data
In this quest, we would train a model to predict age of an abalone from the number of rings it has