Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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Real healthcare data is never fixed.

Thatโ€™s why Python developers working in healthcare rely on *args and **kwargs.

In this tutorial, I show how theyโ€™re used in:
โœ”๏ธ patient symptoms
โœ”๏ธ vitals collection
โœ”๏ธ ML feature preparation

๐ŸŽฅ Watch here ๐Ÿ‘‰ https://www.youtube.com/watch?v=01GK69j4Cx8

#HealthcareAI #Python #AI #DataScience #HealthTech
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๐Ÿฉบ No Coding Background? You Can Still Build AI for Healthcare https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz


Many people think AI in healthcare is only for programmers.

Thatโ€™s not true.

If you can understand patient data, charts, or clinical reports, you can learn Python for Healthcare AI โ€” even with zero coding experience.

We start from the basics:
Python from scratch (no assumptions)
Working with real healthcare datasets
Turning medical data into AI models step by step

No computer science degree required.
Just curiosity and the desire to solve real healthcare problems.



#PythonForBeginners #HealthcareAI #AIinMedicine #MedicalAI #HealthTech #DataScience #LearnPython
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๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐€๐ˆ ๐Ÿ๐จ๐ซ ๐ก๐ž๐š๐ฅ๐ญ๐ก๐œ๐š๐ซ๐ž ๐ข๐ฌ๐งโ€™๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐š๐›๐จ๐ฎ๐ญ ๐ฆ๐จ๐๐ž๐ฅ๐ฌ. https://youtu.be/SPlCXMcUvCg

It starts with how you structure patient data.

In this video, I explain Python classes and objects using a patient-based example โ€” the same design thinking used in real healthcare AI systems.

What I cover:

โžก๏ธ How classes act as blueprints for patient records

โžก๏ธ Why self matters when working with multiple patients

โžก๏ธ How objects store validated medical data safely

โžก๏ธ Adding behavior like feature extraction inside a class

โžก๏ธ How patient objects flow into an ML pipeline

This is the same foundation behind libraries like pandas, scikit-learn, and PyTorch.

If youโ€™re learning Python for AI in healthcare, this concept matters more than most people realize.

๐ŸŽฅ Watch here: https://youtu.be/SPlCXMcUvCg

#HealthcareAI #Python #MachineLearning #DataScience #OOP #AIEngineering
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If you want to learn ๐๐ฒ๐ญ๐ก๐จ๐ง ๐Ÿ๐จ๐ซ ๐€๐ˆ ๐ข๐ง ๐ก๐ž๐š๐ฅ๐ญ๐ก๐œ๐š๐ซ๐ž ๐Ÿ๐ซ๐จ๐ฆ ๐ณ๐ž๐ซ๐จ, with real medical examples and clear thinking, now is the right time. https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
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Demo: Predicting Heart Disease Risk
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Every time I started a new machine learning project, I faced the same frustration.

Create folders.
Set up configs.
Prepare data directories.
Add logging.
Structure modules properly.

And before even writing the first modelโ€ฆ I was already tired.
So I built a solution.

I created ScaffML โ€” an automated ML project structure generator that sets up clean, scalable, production-ready machine learning architecture in seconds.

No messy folders.
No inconsistent structure.
No wasted setup time.

Just install: pip install scaffml

Generate your project, and focus on building models โ€” not folders.
If you're working in ML, AI, or data-driven systems, this might save you more time than you think.

Iโ€™d love your feedback and suggestions to make it even better.

PyPi: https://pypi.org/project/scaffml/
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In the last 24 hours, there have been 422 downloads of scaffml(Professional ML Project Structure Generator) on PyPi.

PyPi: https://pypi.org/project/scaffml/
Forwarded from Go Developers Community
In golang, we declare variables like x := 3. Does this kind of declaration make Go dynamic typed? Why?
Anonymous Quiz
53%
Yes
47%
No
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