Predicting Heart Disease using Machine Learning | GUI Python Project | Part 3

Опубликовано: 14 Март 2025
на канале: Parvat Computer Technology

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🚀 Welcome to Part 3 of our exciting Python project series! In this installment, we continue our journey into the fascinating world of machine learning and healthcare by diving into the realm of heart disease prediction.

🔍 Overview:
In this video, we'll guide you through the process of building a heart disease prediction model using Python. This mini-project not only provides a practical application of machine learning but also incorporates a user-friendly GUI (Graphical User Interface) to make it accessible to all skill levels.

🛠️ Tools and Technologies:

Python
Scikit-learn
Tkinter (for GUI)
Matplotlib and Pandas (for data visualization and analysis)

📈 What You'll Learn:
Implementing machine learning algorithms for heart disease prediction.
Creating an interactive GUI using Tkinter for a seamless user experience.
Visualizing and analyzing data to gain insights into the prediction model.

💻 Source Code:
Access the full source code for this machine learning on Google Drive [https://drive.google.com/drive/folder...]. Feel free to explore, modify, and enhance the code as you embark on your own coding journey!

Channel:
00:00 - Introduction
02:40 - prediction system using Python

Project Report📃📄 :
https://rzp.io/l/heartattackreport

Project PPT📄 :
https://rzp.io/rzp/heartattackppt

Source code:
https://rzp.io/l/heartattackcode

🤝 Join Our Community:
Connect with like-minded learners and developers in our community [  / pct_parvatcomputertechnology  ]. Share your insights, ask questions, and collaborate on exciting projects.

🎓 Part 1 and Part 2:
If you haven't checked out Part 1 and Part 2 of this series, be sure to catch up for a comprehensive understanding of the entire project.

🔗 Links Mentioned:

Part 1:    • Heart Attack Prediction System using ...
Part 2:    • Predicting Heart Disease using Machin...
Part 4:    • Predicting Heart Disease using Machin...

🚀 Subscribe and Stay Tuned:
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👍 Like, Comment, and Share:
If you find this tutorial helpful, give it a thumbs up, drop a comment with your thoughts, and share it with your fellow learners. Your engagement fuels our passion for creating valuable content!

📚 Resources:

Images:https://drive.google.com/drive/folder...

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Instant Image Approval Link 🤖🤖🤖
Download Images: https://rzp.io/l/heartattackimages
Notice🚫
It's only for those who need it urgently and I am not available to approve it on google drive. Otherwise, you will 100% get approval for the image within 2-4 hours of approval request for free through the google drive link.
After Completing payment, it will automatically download .

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🎉 Thank you for being part of our learning journey! Let's code together and explore the endless possibilities of technology. Happy coding! 🚀

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