Machine Learning with Python – Telegram
Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Numpy_Cheat_Sheet.pdf
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NumPy Cheat Sheet: Data Analysis in Python

This #Python cheat sheet is a quick reference for #NumPy beginners.

Learn more:
https://www.datacamp.com/cheat-sheet/numpy-cheat-sheet-data-analysis-in-python

https://news.1rj.ru/str/DataAnalyticsX
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nature papers: 1200$

Q1 and  Q2 papers    700$

Q3 and Q4 papers   400$

Doctoral thesis (complete)    600$

M.S thesis         300$

paper simulation   200$

Contact @Omidyzd62
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AI Developers — finally something serious.

A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B platform on April 1st, 2026.

Not a freelance marketplace.
Not an agency network.
A verified AI builder network.

Only a few spots are still open.

If you can actually ship outcomes like:
• RAG / Agents in production
• Automations + API integrations
• FastAPI tools, internal apps, backend systems

→ apply now (free + anonymous).
http://assesment.brainlancer.com/?src=telegram

Step 1: 5 min form
Step 2: 15–20 min AI interview
Step 3: short call → early access

👉 Brainlancer.com (Landingpage)
👉 https://www.linkedin.com/in/soner-catakli/ (CEO)
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Forwarded from Learn Python Hub
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

https://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0

https://news.1rj.ru/str/Codeprogrammer
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Forwarded from Learn Python Hub
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9 key concepts of artificial intelligence, explained in 7 minutes

- Tokenization
- #TextDecoding
- #PromptEngineering
- Multi Step #AI Agents
- #RAGs
- #RLHF
- #VAE
- #DiffusionModels
- #LoRA

👉 @Python53
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Master Python together with the University of Helsinki

• get an official certificate after completion
• go from complete beginner to confident level
14 intensive modules with practical tasks

The course is waiting for you here
https://programming-25.mooc.fi/
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🐱 5 of the Best GitHub Repos
🔃 for Data Scientists

👨🏻‍💻 When I was just starting out and trying to get into the "data" field, I had no one to guide me, nor did I know what exactly I should study. To be honest, I was confused for months and felt lost.

▶️ But doing projects was like water on fire and helped me a lot to build my skills.

Repo Awesome Data Analysis

🏷 A complete treasure trove of everything you need to start: SQL, Python, AI, data analysis, and more... In short, if you want to start from zero and strengthen your foundation, start here first.

                  


Repo Data Scientist Handbook

🏷 A concise handbook that tells you what you need to learn and what you can ignore for now.

                  


Repo Cookiecutter Data Science

🏷 A standard project template used by professionals. With this template, you can structure your data analysis and AI projects like a pro.

                  


Repo Data Science Cookie Cutter

🏷 This is also a very clean project template that teaches you how to build a data project that won’t fall apart tomorrow and can be easily updated. Meaning your projects will be useful in the real world from the start.

                  


Repo ML From Scratch

🏷 Here, the main AI algorithms are implemented from scratch in simple language. It’s great for understanding how models really work and for explaining them well in your interviews.

🌐 #Data_Science #DataScience
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