Machine Learning Project|App User Segmentation Project using KMeans | Retained vs Churn Users
Автор: DataEasy
Загружено: 2025-12-14
Просмотров: 27
Описание:
In this video, I have built a real-world Machine Learning project where I perform
App User Segmentation using KMeans Clustering.
Github Repo:
https://github.com/1602saurab/app_segment
I divided users into 3 important business categories:
1️⃣ Retained Users
2️⃣ Users who Need Attention
3️⃣ Churn Users
This type of user segmentation is widely used in:
✔ Customer Retention Strategy
✔ Product Analytics
✔ Marketing & Growth Teams
✔ Data Science & Machine Learning Projects
📌 Technologies & Concepts Used:
• KMeans Clustering Algorithm
• Machine Learning
• Data Visualization
• User Behavior Analysis
• Unsupervised Learning
📊 In this project, I also visualized user segments to clearly understand:
• Which users are loyal
• Which users are about to churn
• Where business needs to focus
🎯 This project is perfect for:
• Data Science Students
• Machine Learning Beginners
• Real-World ML Project Practice
• Interview Preparation
🔔 If you are learning Data Science, Machine Learning, or Analytics, this project will help you understand how clustering works on real app data.
👉 Don’t forget to Like, Share & Subscribe for more real-world ML projects.
#DataScience #MachineLearning #KMeans #UserSegmentation #MLProject #Clustering
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