Case Study : Customer segmentation in marketing | Unsupervised Learning | Ch 5 – Pt 3

Practical AI Pro · Beginner ·📐 ML Fundamentals ·3mo ago

Skills: Unsupervised Learning85%ML Pipelines53%

About this lesson

Want to understand how companies like Amazon, Netflix, and Flipkart personalize recommendations and boost revenue? 🤔 In this video, we break down a real-world Customer Segmentation case study using Unsupervised Machine Learning and clustering algorithms like K-Means, DBSCAN, and Hierarchical Clustering. 🔍 What you'll learn: What is Customer Segmentation & why it matters How businesses group customers without labels Step-by-step ML pipeline (data preprocessing → clustering → insights) RFM (Recency, Frequency, Monetary) explained How to identify high-value, at-risk, and premium customers Real marketing strategies for each segment Tools like PCA, t-SNE & UMAP for visualization 💡 Business Impact: Increase ROI by 2–5x Improve personalization Reduce churn Optimize marketing campaigns 📊 This is part of our Machine Learning for Business Series — perfect for: ✔ Data Science Beginners ✔ Marketing Analysts ✔ MBA Students ✔ ML Enthusiasts

Original Description

Want to understand how companies like Amazon, Netflix, and Flipkart personalize recommendations and boost revenue? 🤔 In this video, we break down a real-world Customer Segmentation case study using Unsupervised Machine Learning and clustering algorithms like K-Means, DBSCAN, and Hierarchical Clustering. 🔍 What you'll learn: What is Customer Segmentation & why it matters How businesses group customers without labels Step-by-step ML pipeline (data preprocessing → clustering → insights) RFM (Recency, Frequency, Monetary) explained How to identify high-value, at-risk, and premium customers Real marketing strategies for each segment Tools like PCA, t-SNE & UMAP for visualization 💡 Business Impact: Increase ROI by 2–5x Improve personalization Reduce churn Optimize marketing campaigns 📊 This is part of our Machine Learning for Business Series — perfect for: ✔ Data Science Beginners ✔ Marketing Analysts ✔ MBA Students ✔ ML Enthusiasts

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