Customer Segmentation Analysis with K-Means Clustering | Full Data Science Tutorial for Beginners

🔍 Customer Segmentation Analysis using K-Means Clustering | Data Science Project 💡
In this tutorial, we dive deep into Customer Segmentation using K-Means Clustering, a powerful unsupervised machine learning technique. Learn how to cluster customers based on their behavior and uncover patterns that can be used for personalized marketing, improved services, and customer satisfaction.
What you'll learn in this video:
How to prepare and clean data for clustering
One-Hot Encoding for categorical variables like gender 🧑👩
Scaling features with StandardScaler 📊
Understanding WCSS (Within-Cluster Sum of Squares) and the Elbow Method 🏔
Applying K-Means clustering to find customer groups
Visualizing clusters based on income and spending score
Analyzing cluster characteristics to gain insights 📈
Whether you're new to data science or looking to strengthen your skills in machine learning, this step-by-step guide makes it easy to follow and understand.
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[@FATCAT-j5n]

Thanks for this tutorial

[@ExtViper-h6p]

Awesome Tutorial, really need it

[@v.s.arifulla]

Grate! First comment