Mall-Customer-Segmentation-Using-Python Dataset Overview This is a mall’s dataset from Kaggle, and it contains some basic data about the customers such as Customer ID, age, gender, annual income, and spending score. Problem Statement I want to increase Customer Lifetime Value by segmenting the...
This project is a part of Mall Customer Segmentation Data competition held on Kaggle. The goal of K means is to group data points into distinct non-overlapping subgroups. One of the major application of K means clustering is segmentation of customers to get a better understanding of the...
Mall-Customer-Segmentation:使用Kmeans聚类的Mall客户细分_kaggleMallCustomerSegmentationData 行业研究 - 数据集春风**如酒 上传448.76 KB 文件格式 zip JupyterNotebook 商城-客户细分 在这个项目中,我对商城客户数据进行了探索性数据分析。 此外,我使用了K-均值聚类算法来创建客户细分(不同类型的客户群)。 数据 ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Mall Customer Segmentation Data
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Explore and run machine learning code with Kaggle Notebooks | Using data from Mall Customer Segmentation Data
Explore and run machine learning code with Kaggle Notebooks | Using data from Shopping Mall Customer Segmentation Data
Explore and run machine learning code with Kaggle Notebooks | Using data from Mall Customer Segmentation Data
Explore and run machine learning code with Kaggle Notebooks | Using data from Mall Customer Segmentation Data