# Mall-Customer-Segmentation
In this Project I have performed an Exploratory Data Analysis on the Mall Customer Data . Furthermore I have used K - Means Clustering Algorithm to create Customer Segmentation (Clusters of different type of Customers).
### DATA - [Kaggle](https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python?select=Mall_Customers.csv)
### FEATURES IN THE DATASET
- Customer ID - It is the unique ID assigned to the customer
- Gender - Gender of the customer
- Age - Age of the customer (in years)
- Annual Income(k$) - Annual income of the customer in (k$)
- Spending Score - Score assigned to the customer by the mall/shopping complex based on the customer spending nature and behaviour
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k-means聚类代码+数据集
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2022-09-21
10:50:07
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k-means聚类代码+数据集
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Mall-Customer-Segmentation-main.zip (3个子文件)
Mall-Customer-Segmentation-main
Mall_Customers.csv 4KB
Mall Customer Segmentation.ipynb 626KB
README.md 739B
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