Understand how to leverage the power of machine learning to transform marketing departments and perform customer segmentation
Compile and fit unsupervised machine learning models such as PCA and K-Means to training data.
Understand the theory and intuition behind Principal Component Analysis (PCA) and k-means clustering machine learning algorithm
Learn how to obtain the optimal number of clusters using the elbow method
In this guided tutorial, we will train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs. Note: This tutorial works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:
Understand the problem statement and business case
Import libraries and datasets
Visualize and explore datasets
Understand the theory and intuition behind k-means clustering machine learning algorithm
Learn how to obtain the optimal number of clusters using the elbow method
Use Scikit-Learn library to find the optimal number of clusters using elbow method
Apply k-means using Scikit-Learn to perform customer segmentation
Apply Principal Component Analysis (PCA) technique to perform dimensionality reduction and data visualization
您的工作空间就是浏览器中的云桌面,无需下载
在分屏视频中,您的授课教师会为您提供分步指导
best practical course to understand unsupervised learning.faculty was precise and clear hoping to complete other courses from the faculty
Wonderful course to understand clustering basics. Ryan teaches the concepts as well as gives hands on practice in a very simplified way.
This project is quite explanatory and fun. Thanks to Ryan Ahmed and Coursera.....now I'm good to go on Customer Market Segmentation.
One of the best guided projects I have done so far. The instructor does their best in teaching what each part of the code entails.
如果我购买指导 教程,会得到什么?
购买指导 教程 后,您将获得完成指导 教程 所需的一切,包括通过 Web 浏览器访问云桌面工作空间,工作空间中包含您需要了解的文件和软件,以及特定领域的专家提供的分步视频说明。
指导 教程 可在台式设备和移动设备上学习吗?
由于您的工作空间包含适合笔记本电脑或台式计算机使用的云桌面,因此无法在移动设备上学习指导 教程。
指导 教程 的讲师是谁?
指导 教程 讲师是特定领域的专家,他们在项目的技能、工具或领域方面经验丰富,并且热衷于分享自己的知识以影响全球数百万的学生。
我能在完成指导 教程 后从中下载作品吗?
您可以从指导 教程 中下载并保留您创建的任何文件。为此,您可以在访问云桌面时使用'文件浏览器'功能。
我能够退款吗?退款政策是如何规定的?
指导 教程 不符合退款条件。请查看我们完整的退款政策。
有助学金吗?
指导 教程 不提供助学金。
我能旁听指导 教程 并免费观看视频部分吗?
指导 教程 不支持旁听。
我需要具备多少经验才能做这个指导 教程?
您可在页面顶部点按此指导 教程 的经验级别,查看任何知识先决条件。对于指导 教程 的每个级别,您的讲师会逐步为您提供指导。
我能直接通过 Web 浏览器来完成此指导 教程,而不必安装特殊软件吗?
是,您可以在浏览器的云桌面中获得完成指导 教程 所需的一切。
指导 教程 的学习体验如何?
您可以直接在浏览器中于分屏环境下完成任务,以此从做中学。在屏幕的左侧,您将在工作空间中完成任务。在屏幕的右侧,您将看到有讲师逐步指导您完成项目。
还有其他问题吗?请访问 学生帮助中心。