drbinna/e5-nba-finetuned
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drbinna
AI & ML interests
Generative AI, Agentic Deployment, AI engineering and research
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A simple, rule-based chatbot that answers questions about smart tech products — like shipping, returns, and features — in real time.
drbinna/tech-gadget-chatbot
💡 Built with:
* Python
* Gradio
* Hugging Face Spaces
🔍 Try asking:
* “How long does shipping take?”
* “What are the features of the SmartHome Hub Pro?”
* “Can I return my order?”
drbinna/tech-gadget-chatbot
💡 Built with:
* Python
* Gradio
* Hugging Face Spaces
🔍 Try asking:
* “How long does shipping take?”
* “What are the features of the SmartHome Hub Pro?”
* “Can I return my order?”
updated
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6 months ago
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6 months ago
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363
🔧 Open Source ML Project: Customer Purchase Prediction
Sharing my latest Gradio Space - a complete neural network implementation for predicting customer behavior.
Tech Stack:
- scikit-learn MLPClassifier
- Gradio for the interface
- Plotly for visualizations
- Synthetic data generation
- Real-time inference
Features tabbed interface with prediction, data analysis, model performance, and documentation.
Perfect example of production-ready ML deployment!
Feedback welcome! 🙏
drbinna/customer-purchase-prediction
Sharing my latest Gradio Space - a complete neural network implementation for predicting customer behavior.
Tech Stack:
- scikit-learn MLPClassifier
- Gradio for the interface
- Plotly for visualizations
- Synthetic data generation
- Real-time inference
Features tabbed interface with prediction, data analysis, model performance, and documentation.
Perfect example of production-ready ML deployment!
Feedback welcome! 🙏
drbinna/customer-purchase-prediction
published
a
Space
6 months ago
posted
an
update
6 months ago
Post
1152
Just launched my Customer Churn Prediction Tool!
Predict which customers are likely to leave with 85%+ accuracy using a Decision Tree ML model. Perfect for retention teams looking to save customers before they churn.
✨ Features:
Real-time predictions
Interactive Gradio interface
Based on age, monthly charges & service calls
Ready-to-use examples included
drbinna/ai-churn-detector
Predict which customers are likely to leave with 85%+ accuracy using a Decision Tree ML model. Perfect for retention teams looking to save customers before they churn.
✨ Features:
Real-time predictions
Interactive Gradio interface
Based on age, monthly charges & service calls
Ready-to-use examples included
drbinna/ai-churn-detector