Mall Customer Segmentation Data ¶ This final project is a Kaggle competition called Mall Customer Segmentation Data. This dataset is about finding the customer segments, as we act …

Apr 8, 2025 · Customer Segmentation involves grouping customers based on shared characteristics, behaviors and preferences. By segmenting customers, businesses can tailor …

Jul 14, 2021 · Customer Segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately.

This Python code performs customer segmentation using K-Means and Hierarchical Clustering techniques, along with Principal Component Analysis (PCA) for dimensionality reduction and …

Explore and run machine learning code with Kaggle Notebooks | Using data from Mall Customer Segmentation Data

This case study uses a mock dataset hosted on Kaggle - intended to educate the concepts of customer segmentation, specifically unsupervised learning (K-Means Clustering).

In this tutorial, we’ll explore customer segmentation in Python by combining two fundamental techniques: RFM (Recency, Frequency, Monetary) analysis and K-Means clustering.

Sep 10, 2022 · In the project, clustering learning algorithms are used to Mall customer dataset from kaggle to go deep down to inside analytics for segmentation. In addition, this project also …

Mar 24, 2025 · Unsupervised machine learning offers a powerful way to achieve this, allowing us to discover patterns in data without predefined labels. Today, I'm going to walk you through …

Explore and run machine learning code with Kaggle Notebooks | Using data from flo dataset