@sumanth_077

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01 February 2023 18h09

Kudos to you man, for bringing such quality events every month for the ML community

Text Classification with Hugging Face Transformer Library

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01 February 2023 15h31

I have taken this simple example of Text Classification to show how to use HF's Transformer Library and the pre-trained models. Will be sharing more detailed content on Hugging Face, its libraries, and how you can utilize them. Stay tuned.

Quick Guide to Text Classification with Hugging Face Transformers

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01 February 2023 15h31

If you are into Machine Learning, leveraging existing models is much faster than developing them from scratch. Here's a short tutorial on how you can use Hugging Face Transformer Library to perform Text Classification.

Getting Started with ML: Step-by-Step Guide and Open-Source Contribution

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01 February 2023 13h15

This is a perfect step-by-step guide for anyone getting started with ML. Along with this, I would also suggest joining open-source communities in the ML Space and start contributing to that to accelerate their learning.

Role-based prompting praised for innovative content approach

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29 January 2023 17h40

Role-based prompting is really cool. Keep these awesome content coming Shubham

29 January 2023

Visual Machine Learning Concepts Learning Website

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29 January 2023 15h18

Visual explanations of core machine learning concepts. A brilliant website for everyone looking to learn important machine learning concepts through visuals in a fun way. Check this: http://
mlu-explain.github.io

29 January 2023

Recommendation for NLP Content Creator

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28 January 2023 18h27

Great. You should also check @pradip_nichite for great NLP Content.

28 January 2023

Open-source ML Tools Content Series Coming Soon

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25 January 2023 17h40

That's it. Hope you enjoyed reading this. I will be sharing more content on all open-source ML Tools in the coming threads. Follow me @Sumanth_077 so won't miss what's coming next.

25 January 2023

Start Contributing to Open Source Tools You Use Daily

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25 January 2023 17h40

No need to be above mentioned projects. Think of the tools and libraries you are working on daily within your projects and start contributing to that. For example Pandas, Numpy, Matplotlib, Tensorflow, Jax, etc. It can be of any project just start contributing to Open Source.