Day: February 26, 2024

In this tutorial, you will learn how to use pipelines to clean up your modeling code. 在本教程中，您将学习如何使用管道来清理建模代码。 Introduction 介绍 Pipelines are a simple way to keep your data preprocessing and modeling code organized. Specifically, a pipeline bundles preprocessing and modeling steps so you can use the whole bundle as if it were a single step. […]

This notebook is an exercise in the Intermediate Machine Learning course. You can reference the tutorial at this link. By encoding categorical variables, you’ll obtain your best results thus far! 通过编码分类变量，您将获得迄今为止最好的结果！ Setup 设置 The questions below will give you feedback on your work. Run the following cell to set up the feedback system. 以下问题将为您提供有关您工作的反馈。 运行以下单元格来设置反馈系统。 […]

In this tutorial, you will learn what a categorical variable is, along with three approaches for handling this type of data. 在本教程中，您将了解什么是分类变量，以及处理此类数据的三种方法。 Introduction 介绍 A categorical variable takes only a limited number of values. 分类变量仅采用有限数量的值。 Consider a survey that asks how often you eat breakfast and provides four options: "Never", "Rarely", "Most days", or "Every […]