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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📌 I Built an AI Pipeline for Kindle Highlights

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2026-04-24 | ⏱️ Read time: 12 min read

A local, zero-cost project that cleans, structures, and summarizes your reading automatically

#DataScience #AI #Python
📌 How to Improve Claude Code Performance with Automated Testing

🗂 Category: AGENTIC AI

🕒 Date: 2026-04-24 | ⏱️ Read time: 10 min read

Learn how to get the most out of Claude Code

#DataScience #AI #Python
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📌 How to Select Variables Robustly in a Scoring Model

🗂 Category: DATA SCIENCE

🕒 Date: 2026-04-24 | ⏱️ Read time: 7 min read

More variables don’t make a better scoring model. Stable variables do. Here’s how to find them.

#DataScience #AI #Python
🧮 $40/day × 30 days = $1,200/month.

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From their phone. In 10 minutes a day.

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📌 Causal Inference Is Different in Business

🗂 Category: DATA SCIENCE

🕒 Date: 2026-04-25 | ⏱️ Read time: 12 min read

How does decision-gravity dictate this gap?

#DataScience #AI #Python
📌 The Essential Guide to Effectively Summarizing Massive Documents, Part 2

🗂 Category: LLM APPLICATIONS

🕒 Date: 2026-04-25 | ⏱️ Read time: 18 min read

We have the document clusters, and it’s time to unlock their true potential! Let’s explore…

#DataScience #AI #Python
13+ attention mechanisms worth knowing:

▪️ self-attention
▪️ cross-attention
▪️ causal attention
▪️ linear attention
▪️ attention with softmax
▪️ sliding window (local attention)
▪️ global attention
▪️ FlashAttention
▪️ multi-headed attention (MHA)
▪️ multi-query attention (MQA)
▪️ grouped attention by queries (GQA)
▪️ multi-headed latent attention (MLA)
▪️ interleaved heads attention (IHA)

Slim Attention, KArAt, XAttention, Mixture-of-Depths Attention (MoDA)
https://t.iss.one/DataScienceM
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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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🧮 $40/day × 30 days = $1,200/month.

That's what my students average.
From their phone. In 10 minutes a day.

No degree needed.
No investment knowledge required.
Just Copy & Paste my moves.

I'm Tania, and this is real.

👉 Join for Free, Click here

#ad 📢 InsideAd
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GitHub repositories to enhance your Python proficiency:

- Web development with Django — https://github.com/django/django
- Data Science tools — https://github.com/rasbt/python-machine-learning-book
- Algorithmic challenges — https://github.com/TheAlgorithms/Python
- Machine learning recipes — https://github.com/ageron/handson-ml2
- Testing best practices — https://github.com/pytest-dev/pytest
- Automation scripts — https://github.com/soimort/you-get
- Advanced Python concepts — https://github.com/faif/python-patterns

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Read this once. There won't be a second message.

Brainlancer just launched today.

Investor-backed marketplace for ALL AI freelancers. Designers, builders, copywriters, marketers, video creators, automation experts, consultants.

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The first 100 Brainlancers are onboarding right now.

In 6 months others will have founding status, recurring income, featured services on the homepage.

You'll scroll past and remember this post.

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brainlancer.com
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Machine Learning pinned «Read this once. There won't be a second message. Brainlancer just launched today. Investor-backed marketplace for ALL AI freelancers. Designers, builders, copywriters, marketers, video creators, automation experts, consultants. If you build, design, write…»
📌 I Reduced My Pandas Runtime by 95% — Here’s What I Was Doing Wrong

🗂 Category: PROGRAMMING

🕒 Date: 2026-04-26 | ⏱️ Read time: 18 min read

Most slow Pandas code “works”, until it doesn’t. Learn how to spot hidden bottlenecks, avoid…

#DataScience #AI #Python
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CVE | Cyber Vulnerabilities Exchange

Group dedicated to sharing and discussing CVEs, zero-days, critical vulnerabilities, exploits, PoCs, and technical analyses of offensive and defensive security.

What you'll find here:

• Newly disclosed CVEs
• Public and private exploits
• Technical analysis and bypasses
• Offensive/defensive security
• Penetration testing and red team discussions

Technical, direct, and straightforward content.
Channel=> https://t.iss.one/cve0day
Think. Break. Secure.
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📌 Comparing Explicit Measures to Calculation Groups in Tabular Models

🗂 Category: DATA MODELING

🕒 Date: 2026-04-27 | ⏱️ Read time: 6 min read

With the advent of UDFs and their combination with calculation groups, I see a lot…

#DataScience #AI #Python
📌 A Career in Data Is Not Always a Straight Line, and That’s Okay

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2026-04-27 | ⏱️ Read time: 9 min read

Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing…

#DataScience #AI #Python