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所在平台: Udemy |
课程主页: https://www.udemy.com/course/logistic-regression-using-r-in-10-steps/
课程评论：没有评论
课程名称：10个简单步骤掌握R中的逻辑回归！ 课程概述：为什么要学习逻辑回归？如果你希望成为数据分析师或数据科学家，或者参与数据分析项目，那么掌握预测分析是一个重要的里程碑。许多数据分析项目会涉及预测分析，而逻辑回归是最常用的预测分析技术之一，广泛应用于金融、医疗、营销、零售和电信等领域。逻辑回归可以帮助预测事件发生的概率，例如：客户购买产品的概率、债务人还款的概率、你喜欢的球队获胜的概率、员工流失的概率等等。 课程内容：本课程将通过10个步骤全面讲解逻辑回归，使用R语言，并结合真实案例研究。学员将学习到以下内容： - 数据准备 - 模型构建 - 模型验证 - 模型评估 - 模型实施 课程优势：本课程完全使用R语言进行教学，R是一种在数据科学家中非常流行的开源统计语言。学员将获得完整的R代码、数据集和数据字典，以支持案例研究。这门课程将使你具备独立完成逻辑回归任务的能力！ 适合对象：希望学习逻辑回归基础的有志数据分析师、学生或任何对该领域感兴趣的人。 课程要求：具备基础的R语言知识。
Why Logistic Regression? If you would like to become a data analyst/data scientist or take up a project on data analytics, then knowledge on predictive analytics is a key milestone as a large fraction of data analytics projects will be on predictive analytics. Logistic Regression is one of the most commonly used predictive analytics techniques across domains like finance, healthcare, marketing, retail and telecom. It can help to predict the probability of occurrence of an event i.e. Logistic Regression can answer the questions like - What is the probability that the customer will buy the product?What is the probability that the debtor will pay back the loan?What is the probability that your favorite team is going to win the match? What is the probability that the employee will churn? and so on… What does this course cover? This course covers logistic regression end-to-end using R in 10 steps, with a real life case study! You will learn - Data preparation Model buildingModel validationModel assessmentModel implementation What are the advantages of taking this course? The course is completely done in R, an open source statistical language that is very popular among the data scientists today. You will get the complete R code, dataset, data dictionary for the case study along with the lectures, as a part of this course.This course will make equip you to take up a new Logistic Regression assignment on your own! Who should enroll for this course? Aspiring data analysts, students or any one keen on learning Logistic Regression from the basics What are the prerequisites for this course? Basic R
