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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-data-mining/
课程评论：没有评论
Coursera 课程《数据挖掘导论》内容总结 本课程由一位在多个数据挖掘项目中有丰富经验的计算机科学工程师倾情讲授，旨在介绍当今最热门、薪酬最高且极具吸引力的数据挖掘领域。 课程共分为四个主要部分： 1. **数据挖掘基础**：此部分将介绍数据挖掘的基本概念和核心原理，为学习者打下坚实的基础。 2. **数据挖掘算法深入**：本部分将详细阐述数据挖掘过程中常用的各种算法，帮助学习者理解其工作机制。 3. **Weka 工具实操**：该部分将指导学习者如何使用Weka这款强大的数据挖掘软件，涵盖数据预处理、分类和聚类等关键操作。 4. **真实项目案例详解**：本部分将通过一个实际项目，结合CRISP-DM方法论，在Weka软件中演示数据挖掘项目的完整解决方案。 通过本课程的学习，学员将全面掌握数据挖掘的核心知识与实践技能。
Data Mining is one of the sexiest jobs today! Not only is it a high-paying job, but it is also a very interesting one!This course covers the most important topics drawn from my experience as a computer science engineer who worked on multiple data mining projects.This course contains 4 main sections. The first section contains the fundamentals of data mining and the explanation of basic concepts. The second section dives deeper into the various algorithms used in Data Mining. The third section will give you an overview of how to work with Weka, including preprocessing, classification, and clustering.The third section is an example of a real project solution using the CRISP-DM methodology in data mining software Weka
