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لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

Data Science Brain

Data Science Brain

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🔥 10 AI Tools That Can Save You 10+ Hours Per Week 1) ChatGPT → research, coding help, brainstorming 2) Perplexity → AI search with sources 3) Notion AI → notes + summarization 4) Grammarly → writing + grammar improvement 5) Midjourney / DALL·E → image generation 6) Runway ML → AI video editing 7) ElevenLabs → realistic AI voice generation 8) GitHub Copilot → AI coding assistant 9) Zapier AI → automate repetitive workflows 10) Fireflies AI → meeting transcription + summaries 🎯 People who use AI tools well work 2–3× faster.

🚨 𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: Developers can now visualize any GitHub repo as an interactive knowledge graph 𝗚𝗶𝘁𝗡𝗲𝘅𝘂𝘀 by Abhig
🚨 𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: Developers can now visualize any GitHub repo as an interactive knowledge graph 𝗚𝗶𝘁𝗡𝗲𝘅𝘂𝘀 by Abhigyan Patwari 𝗶𝘀 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗺𝗮𝗽 𝘆𝗼𝘂𝗿 𝗰𝗼𝗱𝗲. 🗺️ It turns GitHub repos into interactive knowledge graphs so your AI agents can finally "see" the full picture. 🚀 100% Open Source 🚀 Better context for AI agents 🚀 Interactive & Indexable If you’re tired of AI missing key code links, go star this: https://lnkd.in/gtQQZGv8

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Anthropic dropped a free Claude Code course. Directly from the team that built it. Covers file ops, MCP, GitHub integration,
Anthropic dropped a free Claude Code course. Directly from the team that built it. Covers file ops, MCP, GitHub integration, hooks, and Plan Mode. Free to enroll. Certificate included. https://anthropic.skilljar.com/claude-code-in-action

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Pandas Library Cheat Sheet 🐼

Python Libraries Cheat Sheet 🐍

🚀 7 Questions Every Data Analyst Should Ask Before Analysis 1) What business problem are we solving? 2) What metric defines success? 3) What time period should we analyze? 4) What data sources are available? 5) Are there missing values or data quality issues? 6) What assumptions are we making? 7) Who will use the results? 🎯 Good analysis starts with good questions, not queries.

🔥 7 SQL Tricks That Make You Look Senior 1) Use CTEs (WITH) to make complex queries readable 2) Use WINDOW FUNCTIONS instead of messy subqueries 3) COUNT(*) vs COUNT(column) difference matters 4) Use CASE WHEN for business logic in SQL 5) Use DISTINCT carefully — it hides data problems 6) Always check duplicates before analysis 7) LIMIT + ORDER BY to quickly explore datasets 🎯 Senior analysts don’t write longer SQL. They write cleaner SQL.

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500+ Data Science Projects Covering Every Topic 🚀What Will you get 💠Complete Source Code 💠Resume ready! 💠Installation Gui
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