🚀 Link: 🔗 Built with Streamlit | Powered by Gradient Boosting | Accuracy: 81.37%
This interactive Streamlit dashboard provides actionable insights into:
- Customer Demographics
- User Behavior Patterns
- Purchase Transactions
- Churn Prediction using Machine Learning (Gradient Boosting Classifier)
It's designed to assist businesses in optimizing user engagement, improving conversions, and proactively reducing churn.
| Column | Description |
|---|---|
User_ID |
Unique identifier for each customer |
Gender |
Customer's gender |
Age |
Age in years |
Location |
Customer's location |
Device_Type |
Device used for browsing (Mobile, Tablet, Desktop) |
Product_Browsing_Time |
Total minutes spent browsing |
Total_Pages_Viewed |
Number of product pages viewed |
Items_Added_to_Cart |
Number of items added to cart |
Total_Purchases |
Number of successful purchases |
Demographics Analysis
Behavioral Trends by Device
Conversion Funnel (Browse → Add to Cart → Purchase)
Churn Prediction (81.37% Accuracy)
Intuitive Visualizations & Filters
- Algorithm: Gradient Boosting Classifier
- Preprocessing: Label Encoding, Standardization
- Target: Customer Churn (Yes/No)
- Accuracy: 81.37% on validation data
- Deployment: Integrated with Streamlit for real-time predictions