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

🚀 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/drive/1BBhtMEzzMawWRrZvtwTi2tXmifjTXVhe?usp=sharing 📊 Dataset Link: https://drive.google.com/file/d/1M8OQYnXQAeKLHE0OKFqrL8GQ0X7zZrA_/view?usp=sharing 👨‍💻 Want More Data Science & Machine Learning Content? 👉 Subscribe for more tutorials: https://www.youtube.com/@hanita.datascience 👉 Connect with me on https://www.linkedin.com/in/hanitasg/https://github.com/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