Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ“Œ Creating a Data Pipeline to Monitor Local Crime Trends

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-02-03 | ⏱️ Read time: 19 min read

A walkthough of creating an ETL pipeline to extract local crime data and visualize it…

#DataScience #AI #Python
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πŸ“Œ How to Work Effectively with Frontend and Backend Code

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2026-02-04 | ⏱️ Read time: 6 min read

Learn how to be an effective full-stack engineer with Claude Code

#DataScience #AI #Python
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πŸš€ Master Data Science & Programming!

Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!


πŸ”° Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.iss.one/CodeProgrammer

πŸ”– Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.iss.one/DataScienceM

🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://t.iss.one/DataScience4

🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.iss.one/DataScienceQ

πŸ’Ύ Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.iss.one/datasets1

πŸ§‘β€πŸŽ“ Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.iss.one/DataScienceC

πŸ˜€ ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://t.iss.one/DataScienceT

πŸ’¬ Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9

🐍 Python Arab| Ψ¨Ψ§ΩŠΨ«ΩˆΩ† عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
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πŸ–Š Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksβ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.iss.one/DataScienceN

πŸ“Ί Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.iss.one/DataScienceV

πŸ“ˆ Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX

🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://t.iss.one/Python53

⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://t.iss.one/DataScienceY

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πŸ“Œ How to Build Your Own Custom LLM Memory Layer from Scratch

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-02-04 | ⏱️ Read time: 16 min read

Step-by-step guide to building autonomous memory retrieval systems

#DataScience #AI #Python
πŸ“Œ Plan–Code–Execute: Designing Agents That Create Their Own Tools

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-02-04 | ⏱️ Read time: 24 min read

The case against pre-built tools in Agentic Architectures

#DataScience #AI #Python
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πŸ“Œ AWS vs. Azure: A Deep Dive into Model Training – Part 2

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-02-04 | ⏱️ Read time: 12 min read

This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand,…

#DataScience #AI #Python
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πŸ“Œ Mechanistic Interpretability: Peeking Inside an LLM

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-02-05 | ⏱️ Read time: 19 min read

Are the human-like cognitive abilities of LLMs real or fake? How does information travel through…

#DataScience #AI #Python
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πŸ“Œ Why Is My Code So Slow? A Guide to Py-Spy Python Profiling

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-02-05 | ⏱️ Read time: 10 min read

Stop guessing and start diagnosing performance issues using Py-Spy

#DataScience #AI #Python
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πŸ“Œ The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-02-05 | ⏱️ Read time: 9 min read

A simple mental model to remember when each one works (with examples that finally click).

#DataScience #AI #Python
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πŸ“Œ Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2026-02-06 | ⏱️ Read time: 8 min read

The real value lies in writing clearer code and using your tools right

#DataScience #AI #Python
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πŸ“Œ Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-02-06 | ⏱️ Read time: 32 min read

How much of your AI agent’s output is real data versus confident guesswork?

#DataScience #AI #Python
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