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β° Mid-Year Deal Ends Soon β Don't Miss Out!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
β€2
βοΈ Python Tutorial β a detailed course for beginners!
A comprehensive Python training course that systematically covers the basics of the language: variables, conditions, loops, functions, lists, dictionaries, OOP, etc. The material is accompanied by code examples and clear explanations, making it suitable even for those who are just starting their journey in programming.
π I'll leave a link: beginnersbook.com
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A comprehensive Python training course that systematically covers the basics of the language: variables, conditions, loops, functions, lists, dictionaries, OOP, etc. The material is accompanied by code examples and clear explanations, making it suitable even for those who are just starting their journey in programming.
π I'll leave a link: beginnersbook.com
#Python #Tutorial #Coding #Programming #LearnToCode #TechSkills
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
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β€2π1
Machine Learning with Python pinned Β«https://xn--r1a.website/howaihelps/200Β»
Forwarded from Machine Learning
Multi-Label Text Classification with Scikit-LLM π
In this article, you will learn how to perform multi-label text classification using large language models and the scikit-LLM library, without the need for labeled training data or complex model training. π
Topics we will cover include:
What multi-label classification is and why it matters for nuanced text analysis. π
How to set up and configure scikit-LLM with a free, open-source LLM from Groq for zero-shot inference. βοΈ
How to load a real-world dataset and run multi-label sentiment predictions using a familiar scikit-learn-style workflow. π
Read: https://machinelearningmastery.com/multi-label-text-classification-with-scikit-llm/ π
#ScikitLLM #TextClassification #LLM #MachineLearning #ZeroShot #DataScience
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π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
In this article, you will learn how to perform multi-label text classification using large language models and the scikit-LLM library, without the need for labeled training data or complex model training. π
Topics we will cover include:
What multi-label classification is and why it matters for nuanced text analysis. π
How to set up and configure scikit-LLM with a free, open-source LLM from Groq for zero-shot inference. βοΈ
How to load a real-world dataset and run multi-label sentiment predictions using a familiar scikit-learn-style workflow. π
Read: https://machinelearningmastery.com/multi-label-text-classification-with-scikit-llm/ π
#ScikitLLM #TextClassification #LLM #MachineLearning #ZeroShot #DataScience
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€2
I often see people say that it's impossible to enter the IT field without expensive courses.
However, there's a huge amount of high-quality materials available for free:
π Computer Science
https://github.com/ossu/computer-science
π Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
π System Design
https://github.com/donnemartin/system-design-primer
π Web Development
https://github.com/TheOdinProject/curriculum
π Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
π Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
π Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
π MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
π Cybersecurity
https://github.com/OWASP/CheatSheetSeries
π Linux
https://github.com/trimstray/the-book-of-secret-knowledge
π Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
However, there's a huge amount of high-quality materials available for free:
π Computer Science
https://github.com/ossu/computer-science
π Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
π System Design
https://github.com/donnemartin/system-design-primer
π Web Development
https://github.com/TheOdinProject/curriculum
π Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
π Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
π Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
π MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
π Cybersecurity
https://github.com/OWASP/CheatSheetSeries
π Linux
https://github.com/trimstray/the-book-of-secret-knowledge
π Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - ossu/computer-science: π Path to a free self-taught education in Computer Science!
π Path to a free self-taught education in Computer Science! - ossu/computer-science
β€7
π§© Local AI is no longer just a toy project.In 2026, you can run a practical AI stack on a laptop: small LLMs, local embeddings, RAG, Jupyter/IDE integration, and no token bill.
This post breaks down what is actually usable right now: Qwen, Gemma, Llama, Ollama, Chroma/LanceDB, local RAG, Jupyter AI, hardware limits, and where local video still hurts.
Read the local stack
β€8