Python | Machine Learning | Coding | R
62K subscribers
1.14K photos
66 videos
138 files
793 links
List of our channels:
https://t.me/addlist/8_rRW2scgfRhOTc0

Discover powerful insights with Python, Machine Learning, Coding, and R—your essential toolkit for data-driven solutions, smart alg

Help and ads: @hussein_sheikho

https://telega.io/?r=nikapsOH
Download Telegram
🖥 Large Language Model Course

The popular free LLM course has just been updated.

This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base.

The course is divided into 3 parts:
1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks.
2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks.
3️⃣ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them.

⭐️ 41.4k stars on Github

📌 https://github.com/mlabonne/llm-course

#llm #course #opensource #ml

https://t.me/CodeProgrammer 👑
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
📚 Think Stats, 3rd Edition: Master Probability & Statistics with Python! 🐍

#Python #DataScience #Statistics #MachineLearning #DataAnalysis #JupyterNotebooks #OpenSource #LearnToCode #DataVisualization #FreeBook

❤️ Why Grab This Book?
- Hands-On Learning: Transform raw data into insights using Python. Perfect for coders who want to dive into stats without drowning in formulas!
- Real-World Case Studies: Analyze datasets from the National Institutes of Health and more. Learn by doing, not just theorizing!
- Jupyter Notebooks Included: Every chapter comes with interactive notebooks—run code, tweak examples, and solve exercises seamlessly. Ideal for Colab or local setups!
- Cutting-Edge Topics: Explore regression, time series analysis, survival analysis, and Bayesian methods. Level up your data science toolkit!
- Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today!

💡 Perfect For:
- Python devs eager to add stats/data skills.
- Data enthusiasts craving practical, code-driven analysis.
- Educators seeking a modern, interactive stats resource.

🚀 Get It Now:
https://allendowney.github.io/ThinkStats/

📂 GitHub Repo: https://github.com/AllenDowney/ThinkStats2

#DataDriven #CodeFirst #StatsInPython #FreeLearning — Turn data into wisdom, one line of Python at a time! ⭐️📊

https://t.me/CodeProgrammer ✈️
Please open Telegram to view this post
VIEW IN TELEGRAM
📕 Think Python, 3rd Edition: Master Python Programming with Jupyter Notebooks! 🐍⭐️

#Python #LearnPython #Coding #JupyterNotebooks #OpenSource #FreeLearning #DataScience #Programming #TechEducation #AllenDowney #ThinkPython

☄️ Why This Book?
- Learn by Doing: Perfect for beginners and coders upgrading to Python 3! Hands-on examples, exercises, and projects.
- Jupyter Notebook Edition: Entire book redesigned as interactive notebooks! Run code, visualize results, and experiment live.
- Free & Open Source: Licensed under CC BY-NC-SA—download, share, and contribute!
- From a Pro: Authored by Allen Downey, computer science professor and creator of the legendary *Think Series* (*Think Stats*, *Think Bayes*).
- Clear & Engaging: Simplifies complex concepts with humor and real-world analogies.

📈 New in the 3rd Edition:
- Updated for modern Python 3 practices.
- Fully integrated Jupyter notebooks for interactive learning.
- Expanded exercises and case studies.

👩‍💻 Perfect For:
- New programmers starting with Python.
- Educators teaching coding or data science.
- Data enthusiasts who want to code smarter.

🔗 Get It Now:
👉 Web Version: https://allendowney.github.io/ThinkPython/

🧑‍💻 GitHub Repo: https://github.com/AllenDowney/ThinkPython3

#Python3 #CodeForFree #InteractiveLearning — Unlock Python’s power, one notebook at a time! ⭐️👩‍💻

https://t.me/CodeProgrammer ⭐️

Use ⭐️ Emoji to support us ❤️
Please open Telegram to view this post
VIEW IN TELEGRAM
Full PyTorch Implementation of Transformer-XL

If you're looking to understand and experiment with Transformer-XL using PyTorch, this resource provides a clean and complete implementation. Transformer-XL is a powerful model that extends the Transformer architecture with recurrence, enabling learning dependencies beyond fixed-length segments.

The implementation is ideal for researchers, students, and developers aiming to dive deeper into advanced language modeling techniques.

Explore the code and start building:
https://www.k-a.in/pyt-transformerXL.html

#TransformerXL #PyTorch #DeepLearning #NLP #LanguageModeling #AI #MachineLearning #OpenSource #ResearchTools

https://t.me/CodeProgrammer