通过在 Python 和 R 中解决 2 个商业案例研究，了解如何使用线性和逻辑回归。
回归分析是任何希望分析数据的人都可以使用的最常用工具。如果您希望从数据中获得有意义的见解，那么本课程适合您。
本课程独特的 3 个原因：
您不仅可以学习技术，还可以了解业务。直觉教程一开始就致力于向您解释业务问题的相关性。在课程结束时，您将能够与您的利益相关者讨论与定价或客户流失相关的问题。
真实体验。编写回归代码只需几行代码。然而，生活并没有那么简单。几乎总是，您会得到一个脏数据集，您需要对其进行转换和操作以使其成为可用且有用的数据集。练习教程反映了这种经验。我们将通过标准技术来：
转换数据
可视化异常值
评估哪些变量最适合使用。
我们一起编码。在 R 或 Python 中，我将指导您完成每一步，解释进行出色回归分析所需的所有步骤。
Genre: eLearning | Language: English + srt | Duration: 83 lectures (4h 58m) | Size: 1.7 GB
Learn how to use Linear & Logistic Regressions by solving 2 Business Case studies in Python & R. Code templates included
What you’ll learn:
Linear Regression
Logistic Regression
Pricing
Churn drivers
Data Manipulation
R and Python
Requirements
Basic math: mean, median, standard deviation
Description
Regression analysis is the most common tool at the disposal of anyone looking to analyze data. If you are looking to derive meaning insights from your data, then this course is for you.
3 reasons this course is unique:
You learn not only techniques, but you also learn about Business. The intuition tutorials have their beginning dedicated to explaining to you the relevance of the business problem. By the end of the course, you will be able to discuss matters with your stakeholders related to Pricing or Customer Churn.
Real-life experience. Coding a Regression is a matter of just a couple of lines of code. However, life is not that simple. Almost always, you get a dirty dataset that you need to transform and manipulate to make it a usable and useful dataset. The practice tutorials mirror that experience. We will go through standard techniques to:
Transform data
Visualize outliers
Assess which variables are the best to use.
We code together. In R or Python, I will guide you every step of the way, explaining all steps required to make an excellent regression analysis.
Did I pique your interest? I am looking forward to seeing you inside the course.
Who this course is for
Professionals looking to learn about regression analysis
Graduates wanting to have a practical view on Regressions
Business Managers looking into their first steps into Data Science
原创文章，作者：steven，如若转载，请注明出处：https://rr3d.cn/15626.html
