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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-and-data-preparation-with-knime/
课程评论：没有评论
课程名称：KNIME的数据科学与数据准备 课程概述： 欢迎进入高效数据准备的世界，在这里，繁琐的任务变得轻而易举。在数据科学和分析的领域，数据清洗和预处理总是耗时漫长的过程。我们将探索如何提升这一过程的效率，实现聪明工作而非辛苦工作的方法，而KNIME就是我们要介绍的工具。 KNIME - 你的数据助手： KNIME 是今天的英雄。它提供了一个用户友好的拖放界面，使得数据准备和清洗变得简单易行。无需编码经验，当然如果你希望，也可以使用 R、Python 或 Java 的强大功能。KNIME 的灵活性几乎没有限制，用户可以无论是否编码，轻松进入数据科学领域，包括机器学习和人工智能。 最重要的是，KNIME Desktop 完全免费，是一个强大的工具，不会增加你的财务负担。 提升你的KNIME技能： 本课程是我们之前的基础KNIME课程“KNIME - 新手速成课程”的后续，适合有一定基础的学习者。在这一阶段，我们将深入探讨高级主题，不再覆盖基础内容，如界面使用、基本数据导入和过滤节点。如果你对KNIME不太熟悉或需要复习，请考虑先学习我们的入门课程。 课程内容包括： - 高效导入多个文件到KNIME的方法 - 循环的强大功能 - 网络爬虫技术 - 在KNIME中使用Python进行脚本编写 - 超参数优化 - 特征选择 - 基本的机器学习工作流程和必要的KNIME节点 如果你想提升效率，并深入学习数据科学与准备，那么让我们一起踏上这段旅程吧！准备好提升你的数据技能了吗？
Master Data Science, Cleaning, and Preparation with KNIMEWelcome to the world of efficient data preparation, where tedious tasks become a breeze. In the realm of data science and analysis, one thing is certain: data cleaning, preprocessing, or whatever you choose to call it, can be a time-consuming ordeal. Efficiency at Your Fingertips How can we expedite this process and work smarter, not harder? The answer lies in tools that not only accelerate the process but also reduce the need for excessive coding. Meet KNIME - Your Data Ally KNIME is the hero of the day. It offers a user-friendly, drag-and-drop interface that simplifies data preparation and cleaning. No coding experience required, though you have the option to unleash the power of R, Python, or Java if you wish. KNIME's flexibility knows no bounds. You can even venture into Data Science, including machine learning and AI, with or without coding. Did We Mention It's FREE? You read that correctly. KNIME Desktop won't cost you a dime. It's a robust tool that won't dent your budget. Elevate Your KNIME Skills This course follows our introductory KNIME class, "KNIME - A Crash Course for Beginners," also available on Udemy. In this second installment, we delve deeper into advanced topics. What's Inside the Course We skip the basics here (like the interface, basic data import, and filter nodes). If you're new to KNIME or need a refresher, consider exploring our first class, where we cover the fundamentals in a captivating case study.In this class, we explore:Efficient methods to import multiple files into KNIMEThe power of loopsWeb scraping techniquesScripting using Python within KNIMEHyperparameter optimizationFeature selectionBasic machine learning workflows and essential KNIME nodesIf efficiency and diving deep into data science and preparation sound appealing to you, then let's embark on this journey together!Are you ready to elevate your data skills?
