Machine Learning with scikit-learn Quick Start Guide

Predicting Categories with K-Nearest Neighbors

The k-Nearest Neighbors (k-NN) algorithm is a form of supervised machine learning that is used to predict categories. In this chapter, you will learn about the following:

• Preparing a dataset for machine learning with scikit-learn
• How the k-NN algorithm works under the hood
• Implementing your first k-NN algorithm to predict a fraudulent transaction
• Fine-tuning the parameters of the k-NN algorithm
• Scaling your data for optimized performance

The k-NN algorithm has a wide range of applications in the field of classification and supervised machine learning. Some of the real-world applications for this algorithm include predicting loan defaults and credit-based fraud in the financial industry and ...