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 What Happens Now That AI is the First Analyst On Your Team?

πŸ—‚ Category: DATA ANALYSIS

πŸ•’ Date: 2026-04-01 | ⏱️ Read time: 7 min read

How I am adapting in my career in the age of AI, automation, and when…

#DataScience #AI #Python
πŸ“Œ How to Handle Classical Data in Quantum Models?

πŸ—‚ Category: QUANTUM COMPUTING

πŸ•’ Date: 2026-04-02 | ⏱️ Read time: 11 min read

Workflows and encoding techniques in quantum machine learning

#DataScience #AI #Python
πŸ“Œ Quantum Simulations with Python

πŸ—‚ Category: QUANTUM COMPUTING

πŸ•’ Date: 2026-04-02 | ⏱️ Read time: 5 min read

Run Quantum Experiments with Qiskit-Aer

#DataScience #AI #Python
πŸ“Œ Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions)

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-04-02 | ⏱️ Read time: 17 min read

The Vector View of Least Squares.

#DataScience #AI #Python
Forwarded from Code With Python
This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

βœ… https://t.me/addlist/8_rRW2scgfRhOTc0

βœ… https://t.me/Codeprogrammer
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πŸ“Œ DenseNet Paper Walkthrough: All Connected

πŸ—‚ Category: DEEP LEARNING

πŸ•’ Date: 2026-04-03 | ⏱️ Read time: 20 min read

When we try to train a very deep neural network model, one issue that we…

#DataScience #AI #Python
πŸ“Œ I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-04-03 | ⏱️ Read time: 13 min read

Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search.

#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.me/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.me/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.me/DataScience4

🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/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.me/datasets1

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

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

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

🐍 Python Arab| Ψ¨Ψ§ΩŠΨ«ΩˆΩ† عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab

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.me/DataScienceN

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

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

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

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

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Admin: @HusseinSheikho
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πŸ“Œ Building a Python Workflow That Catches Bugs Before Production

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2026-04-04 | ⏱️ Read time: 17 min read

Using modern tooling to identify defects earlier in the software lifecycle.

#DataScience #AI #Python
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πŸ“Œ Building Robust Credit Scoring Models with Python

πŸ—‚ Category: DATA SCIENCE

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

A Practical Guide to Measuring Relationships between Variables for Feature Selection in a Credit Scoring.

#DataScience #AI #Python
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πŸ“Œ A Data Scientist’s Take on the $599 MacBook Neo

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-04-05 | ⏱️ Read time: 7 min read

Why it doesn’t fit my workflow but still makes sense for beginners

#DataScience #AI #Python
πŸ“Œ Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost

πŸ—‚ Category: LARGE LANGUAGE MODEL

πŸ•’ Date: 2026-04-05 | ⏱️ Read time: 23 min read

A new way to build vector RAGβ€”structure-aware and reasoning-capable

#DataScience #AI #Python
πŸ“Œ The Geometry Behind the Dot Product: Unit Vectors, Projections, and Intuition

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-04-06 | ⏱️ Read time: 12 min read

The geometric foundations you need to understand the dot product

#DataScience #AI #Python
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πŸ“Œ How to Run Claude Code Agents in Parallel

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2026-04-06 | ⏱️ Read time: 11 min read

Learn how to apply coding agents in parallel to work more efficiently

#DataScience #AI #Python
πŸ“Œ Behavior is the New Credential

πŸ—‚ Category: CYBERSECURITY

πŸ•’ Date: 2026-04-06 | ⏱️ Read time: 7 min read

We are living through a paradigm shift in how we prove we are who we…

#DataScience #AI #Python
πŸ“Œ From 4 Weeks to 45 Minutes: Designing a Document Extraction System for 4,700+ PDFs

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2026-04-07 | ⏱️ Read time: 8 min read

How a hybrid PyMuPDF + GPT-4 Vision pipeline replaced Β£8,000 in manual engineering effort, and…

#DataScience #AI #Python