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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-and-data-science-in-stata/
课程评论：没有评论
**Coursera 课程总结：STATA 中的机器学习与数据科学** 本课程旨在教授学员如何利用 STATA 进行机器学习与数据科学实践。课程强调机器学习在当今科技进步中的重要性，并致力于提供最新的机器学习方法论。 **课程亮点：** * **STATA 平台:** 课程专门选择了 STATA 作为平台，这对于熟悉或希望学习 STATA 的学员来说是一大优势。 * **信用风险场景应用:** 特别强调了在信用风险场景中应用机器学习模型的独特性，据称是唯一一门使用 STATA 进行此类应用的课程。 * **实践导向:** 从零开始，通过一个完整的端到端数据科学项目，带领学员实践机器学习模型。 * **真实数据:** 项目将使用包含约 40,000 位消费者数据的信用风险数据集，涵盖教育水平、年龄、婚姻状况、居住地、住房拥有情况等信息，让学员深入实践。 * **全面资源:** 提供讲座、作业、测验、幻灯片以及建模方法论的文献分析等丰富学习资源。 * **职业发展:** 课程被定位为入门机器学习职业生涯的绝佳途径，通过基本原则学习和实践经验，可获得重要技能。 **核心目标：** * 教授最新的机器学习方法论。 * 培养数据科学与机器学习的全新视角。 * 为学员提供宝贵的实践经验，助力职业发展。 * 使学员能够独立完成一个完整的数据科学项目。 **总体而言，本课程适合希望利用 STATA 平台深入学习和实践机器学习，尤其是在信用风险分析领域的学员。**
Hello and welcome to the Machine Learning with STATA course. Machine Learning is influencing our daily lives and is one of the most significant aspects of technological advancements. The goal of this course is to provide you with the most up-to-date Machine Learning methodologies using STATA. It will teach you how to think about data science and machine learning in a new way. This is an excellent approach to begin a career in Machine Learning because you will learn some fundamental principles and receive practical experience. I'm thrilled to share what I know about Machine Learning using STATA with you. I assure you that it will be well worth your time and effort, and that you will gain a vital skill.Based on our research this is the only course that uses STATA to apply Machine Learning Models in Credit Risk Scenario. Because we know that many of you are already familiar with STATA or want to be familiar, we chose it as our platform. From the beginning to the finish of the course, we will start from scratch and work together to build new abilities. In this course, we will work together to create a complete data science project utilizing Credit Risk Data from start to finish. For this course, we have information on around 40,000 consumers, including their level of education, age, marital status, where they live, if they own a home, and other pertinent information. We'll get our hands filthy with these numbers and dig deep into them, and you'll be able to practice on your own. Additionally, you will have access to essential resources like as lectures, homework, quizzes, slides, and a literature analysis on modeling methodologies. Let's see what the course structure looks like right now!
