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所在平台: Udemy |
课程主页: https://www.udemy.com/course/getting-started-with-decision-trees/
课程评论：没有评论
**课程名称：** 决策树入门 (Getting Started with Decision Trees) **课程概述：** 本课程将带您深入了解机器学习和数据科学中最强大的算法之一——决策树。决策树因其通用性和易于解释性，被广泛应用于解决商业问题，并方便地向客户解释。您将学习决策树的核心概念，并掌握如何使用 Python 构建决策树模型。 **为什么要学习决策树？** * **广泛应用：** 决策树是目前最流行、使用最广泛的机器学习算法之一。 * **多功能性：** 能够同时解决分类和回归问题。 * **易于理解：** 决策树模型直观易懂，便于解释，因此在各行各业都有广泛的应用前景。 **课程内容：** * **决策树简介：** 了解决策树的基本原理和概念。 * **决策树相关术语：** 学习决策树模型中常用的专业术语。 * **不同的划分标准：** 掌握用于构建决策树的关键划分标准，如基尼不纯度 (Gini)、卡方检验 (chi-square) 等。 * **Python 实现：** 学习如何使用 Python 编程语言实现决策树模型。
Decision Tree algorithm is one of the most powerful algorithms in machine learning and data science. It is very commonly used by data scientists and machine learning engineers to solve business problem and explain that to your customers easily. This course will introduce you to the concept of Decision Trees and teach you how to build one using PythonWhy learn about Decision Trees?Decision Trees are the most widely and commonly used machine learning algorithms.It can be used for solving both classification as well as regression problems.Decision Trees are easy to interpret and hence have multiple applications around different industries.What would you learn in Getting started with Decision Tree course?Introduction to Decision TreesTerminologies related to decision treesDifferent splitting criterion for decision tree like Gini, chi-square, etc.Implementation of decision tree in Python
