Customer Segmentation with K-Means in Google Colab | Python Machine Learning Tutorial

Published: 13 March 2025
on channel: Hanita Abd Hamid
894
18

🚀 Learn how to perform Customer Segmentation using K-Means Clustering in Python! In this tutorial, I walk you through a real-world machine learning project using Google Colab to analyze customer data and segment them into meaningful groups.

🔍 What You'll Learn:
✔️ Introduction to K-Means Clustering
✔️ Preprocessing and cleaning customer data
✔️ Implementing K-Means in Python using sklearn
✔️ Visualizing clusters for better insights
✔️ Understanding how businesses can leverage clustering for targeted marketing

📌 Google Colab Notebook: https://colab.research.google.com/dri...
📊 Dataset Link: https://drive.google.com/file/d/1M8OQ...

👨‍💻 Want More Data Science & Machine Learning Content?
👉 Subscribe for more tutorials:    / @hanita.datascience  
👉 Connect with me on   / hanitaabhamid  

💬 Have Questions or Suggestions? Comment below! I’d love to hear your thoughts and help out.

🔔 Don’t forget to LIKE, SHARE, and SUBSCRIBE for more Python & AI tutorials!

#MachineLearning #Python #KMeans #CustomerSegmentation #DataScience #GoogleColab


On this page of the site you can watch the video online Customer Segmentation with K-Means in Google Colab | Python Machine Learning Tutorial with a duration of hours minute second in good quality, which was uploaded by the user Hanita Abd Hamid 13 March 2025, share the link with friends and acquaintances, this video has already been watched 894 times on youtube and it was liked by 18 viewers. Enjoy your viewing!