Day: March 27, 2024

This notebook is an exercise in the Feature Engineering course. You can reference the tutorial at this link. Introduction 介绍 In this exercise you’ll explore our first unsupervised learning technique for creating features, k-means clustering. 在本练习中，您将探索我们第一个用于创建特征的无监督学习技术：k 均值聚类。 Run this cell to set everything up! 运行这个单元格来设置一切！ # Setup feedback system from learntools.core import binder binder.bind(globals()) from […]

Introduction 介绍 This lesson and the next make use of what are known as unsupervised learning algorithms. Unsupervised algorithms don’t make use of a target; instead, their purpose is to learn some property of the data, to represent the structure of the features in a certain way. In the context of feature engineering for prediction, […]