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所在平台: Udemy |
课程主页: https://www.udemy.com/course/association-rule-mining-basic-theory-practice/
课程评论：没有评论
**课程名称:** Association Rule Mining: Basic Theory & Practice (关联规则挖掘：基本理论与实践) **课程概述:** 本课程是关联规则挖掘的入门课程，旨在为学习者提供该领域的基础知识。关联规则挖掘是一种探索变量之间关联性的有用技术，在促进交叉销售和构建电子商务推荐系统方面发挥着重要作用。其应用范围不仅限于市场分析，还可广泛应用于其他商业分析领域。 本课程结合理论知识和 Python 编程实践，强调理论知识对于理解数据挖掘算法和进行更高级学习的重要性。 **课程结构:** * **第一部分:** 介绍什么是关联规则。 * **第二部分:** 学习关联规则挖掘的基本度量指标。 * **第三部分:** 讲解 Apriori 算法，一种识别变量间重要关联性的有效方法。 * **第四部分:** 实践环节，学习如何在 Python 中实现关联规则挖掘。 **期待:** 课程讲师期待与各位学习者一同探索关联规则挖掘的魅力。 **图片来源:** * **课程图片:** Gerd Altmann (Pixabay) * **啤酒:** Hans Braxmeie (Pixabay) * **椒盐卷饼:** Couleur (Pixabay) * **土豆:** RitaE (Pixabay) * **尿布:** PublicDomainPictures (Pixabay)
Welcome to the association rule mining course. This course is an introductory course. You will learn basic knowledge of association rule mining in this course. Association rule mining is a useful technique to explore associations between variables. It contributes to effective cross-selling and has been applied to construct recommender system in EC sites. We can use it not only in marketing analytics but also other fields in business analytics. This course intends to provide you with theoretical knowledge as well as python coding. Theoretical knowledge is important to understand the algorithm of data mining, and it can be a useful foundation for more advanced learning. This course consists of 4 sections. In the first section, you will learn what an association rule is. In Session 2, you will learn the basic metrics of association rule mining. Session 3 covers apriori algorithm that is a useful method to identify important associations between variables. Session 4 is a Hands-On chapter, where you will learn how to implement association rule mining in Python. I'm looking forward to seeing you in this course!Source of Pictures:Course Image: Gerd Altmann from PixabayPV:- Beer: Hans Braxmeie from Pixabay- Pretzel: Couleur from Pixabay- Potatoes: RitaE from Pixabay- Diaper: PublicDomainPictures from Pixabay
