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所在平台: Udemy |
课程主页: https://www.udemy.com/course/association/
课程评论：没有评论
**课程名称：** Python 中的无监督机器学习：关联规则 **课程概述：** 本课程将带您深入了解无监督机器学习中的一个重要建模家族——关联规则学习。通过本课程，您将学习如何利用关联规则挖掘技术，在海量数据中发现有价值的联系和模式。 **主要学习内容：** * **关联规则的应用领域：** 了解关联规则在市场篮子分析、网页使用挖掘、连续生产、客户分析、目录设计、店铺布局、推荐系统等众多行业和应用中的重要作用。 * **核心算法：** 熟悉业内最成功和最广泛使用的关联规则技术，包括： * Apriori 算法 * Eclat 算法 * FP-growth 算法 * **模型构建与评估：** 学习如何训练关联规则模型，找出数据之间的关联性，并计算关键指标，如支持度 (Support)、置信度 (Confidence) 和提升度 (Lift)。 * **实际操作：** 您将能够使用 Python 构建关联规则的机器学习模型，并从课程提供的可下载程序和数据集进行实践。 **学习目标：** 完成本课程后，您将具备使用关联规则学习技术从数据中提取洞察的基础知识，并能独立构建关联规则模型。 **职业发展：** 机器学习工程师是极具前景的职业，Indeed 将其列为美国最佳职业之一，显示出巨大的增长率和丰厚的薪资。计算机和信息技术领域的就业前景同样广阔。 **适合人群：** 希望了解和应用无监督机器学习技术，特别是关联规则以分析和预测消费者行为的各类学习者。
Artificial intelligence and machine learning are touching our everyday lives in more-and-more ways. There's an endless supply of industries and applications that machine learning can make more efficient and intelligent. This course introduces you to one of the prominent modelling families of Unsupervised Machine Learning called Association Rule Learning. Association rule mining helps find exciting connections and linkages among large data items. The association rule learning is employed in Market Basket analysis, Web usage mining, Continuous production, Customer analytics, Catalogue design, Shop layout, Recommender systems etc. Association rules are critical in data mining for analyzing and forecasting consumer behaviour. This course provides the learners with the foundational knowledge to use Association Rule Learning to create insights. You will become familiar with the most successful and widely used Association Rule techniques, such as:Apriori algorithmEclat algorithmFP-growth algorithmYou will learn how to train Association Rule models to find the connections between the data and compute the metrics such as Support, Confidence and Lift. By the end of this course, you will be able to build machine learning models to make Association Rules using your data. The complete Python programs and datasets included in the class are also available for download. This course is designed most straightforwardly to utilize your time wisely. Get ready to do more learning than your machine!Happy Learning.Career Growth:Employment website Indeed has listed machine learning engineers as #1 among The Best Jobs in the U.S., citing a 344% growth rate and a median salary of $146,085 per year. Overall, computer and information technology jobs are booming, with employment projected to grow 11% from 2019 to 2029.
