Introduction to Customer Segmentation in Python

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在此指導項目中,您將:
2 hours
初級
無需下載
分屏視頻
英語(English)
僅限桌面

In this 2 hour long project, you will learn how to approach a customer purchase dataset, and how to explore the intricacies of such a dataset. You will learn the basic underlying ideas behind Principal Component Analysis, Kernel Principal Component Analysis, and K-Means Clustering. You will learn how to leverage these concepts, paired with industry knowledge and auxiliary modeling concepts to segment the customers of a certain store, and find similarities and differences between different clusters using unsupervised machine learning techniques. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Dimensionality Reduction

  • Market Segmentation

  • Machine Learning

  • clustering

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