I’m just getting started with machine learning and I’d love some guidance on 
which library would be best for a beginner. There seem to be so many options 
out there, like TensorFlow, PyTorch, and Scikit-Learn, and I'm not sure where 
to start.

My goal is to build a solid foundation in machine learning basics, including 
handling data, training simple models, and understanding fundamental concepts. 
Ideally, I’m looking for a library that’s well-documented, has a supportive 
community, and doesn’t feel overwhelming for someone without a ton of 
programming experience.

For those of you who have been through this before:

Which library helped you the most as a beginner, and why?
Are there any specific tutorials or resources that you found especially helpful?
Do you have any tips for learning the basics effectively?
Thanks so much for any advice or suggestions!

Regards, 
Kate
Minneapolis
https://www.coherentsolutions.com/artificial-intelligence
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