You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail

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Description

In this Django + Machine Learning tutorial (Urdu/Hindi), I walk you through creating a real-world AI-powered website using Django and Python. We take a practical dataset — the Tips dataset from Seaborn — and train a Machine Learning model with XGBoost to predict restaurant tips. Then, we integrate this ML model into a Django web app to serve predictions directly from the frontend.

What you’ll learn in this lecture:

Using the Seaborn Tips Dataset for ML tasks

Training an XGBoost model for predicting restaurant tips

Saving and integrating ML models in Django projects

Building a frontend to take user inputs (bill, size, etc.) and return predictions

Best practices for ML + Django integration

Hands-on coding with Python, VS Code, Django, and XGBoost

Who is this video for?

Beginners in Django and Machine Learning

Python developers curious about AI integration in web apps

Data Science students in Pakistan, India, and Urdu/Hindi-speaking regions

Developers wanting to build a portfolio project combining ML + Web Development

This video is part of the Free Django Course (Urdu/Hindi) and is perfect for learners who want to explore how AI/ML can be deployed into websites.

Full Django Playlist here:
Complete Django Course in Urdu/Hindi

Don’t forget to Like, Share & Subscribe for more free tutorials on Django, Python, Data Science, and AI.


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Django, Machine Learning, AI, Python, XGBoost, Web Development, Django Course, Django Tutorial, Urdu Tutorial, Hindi Tutorial, codanics, babaaammar, aammartufail, Pakistan, India


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