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Machine Learning with Python

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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Machine Learning with PythonNetwork:Machine Learning with PythonIndia5 047Education2 412

πŸ“ˆ Analytical overview of Telegram channel Machine Learning with Python

Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 67 810 subscribers, ranking 2 412 in the Education category and 5 047 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 67 810 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 50 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.79%. Within the first 24 hours after publication, content typically collects 2.60% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 895 views. Within the first day, a publication typically gains 1 764 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 09 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

67 810
Subscribers
-524 hours
+227 days
+5030 days
Posts Archive
Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning with Python
β€œLearn AI” is everywhere. But where do the builders actually start? Here’s the real path, the courses, papers and repos that
β€œLearn AI” is everywhere. But where do the builders actually start? Here’s the real path, the courses, papers and repos that matter. βœ… Videos: Everything here β‡’ https://lnkd.in/ePfB8_rk ➑️ LLM Introduction β†’ https://lnkd.in/ernZFpvB ➑️ LLMs from Scratch - Stanford CS229 β†’ https://lnkd.in/etUh6_mn ➑️ Agentic AI Overview β†’https://lnkd.in/ecpmzAyq ➑️ Building and Evaluating Agents β†’ https://lnkd.in/e5KFeZGW ➑️ Building Effective Agents β†’ https://lnkd.in/eqxvBg79 ➑️ Building Agents with MCP β†’ https://lnkd.in/eZd2ym2K ➑️ Building an Agent from Scratch β†’ https://lnkd.in/eiZahJGn βœ… Courses: All Courses here β‡’ https://lnkd.in/eKKs9ves ➑️ HuggingFace's Agent Course β†’ https://lnkd.in/e7dUTYuE ➑️ MCP with Anthropic β†’ https://lnkd.in/eMEnkCPP ➑️ Building Vector DB with Pinecone β†’ https://lnkd.in/eP2tMGVs ➑️ Vector DB from Embeddings to Apps β†’ https://lnkd.in/eP2tMGVs ➑️ Agent Memory β†’ https://lnkd.in/egC8h9_Z ➑️ Building and Evaluating RAG apps β†’ https://lnkd.in/ewy3sApa ➑️ Building Browser Agents β†’ https://lnkd.in/ewy3sApa ➑️ LLMOps β†’ https://lnkd.in/ex4xnE8t ➑️ Evaluating AI Agents β†’ https://lnkd.in/eBkTNTGW ➑️ Computer Use with Anthropic β†’ https://lnkd.in/ebHUc-ZU ➑️ Multi-Agent Use β†’ https://lnkd.in/e4f4HtkR ➑️ Improving LLM Accuracy β†’ https://lnkd.in/eVUXGT4M ➑️ Agent Design Patterns β†’ https://lnkd.in/euhUq3W9 ➑️ Multi Agent Systems β†’ https://lnkd.in/evBnavk9 βœ… Guides: Access all β‡’ https://lnkd.in/e-GA-HRh ➑️ Google's Agent β†’ https://lnkd.in/encAzwKf ➑️ Google's Agent Companion β†’ https://lnkd.in/e3-XtYKg ➑️ Building Effective Agents by Anthropic β†’ https://lnkd.in/egifJ_wJ ➑️ Claude Code Best practices β†’ https://lnkd.in/eJnqfQju ➑️ OpenAI's Practical Guide to Building Agents β†’ https://lnkd.in/e-GA-HRh βœ… Repos: ➑️ GenAI Agents β†’ https://lnkd.in/eAscvs_i ➑️ Microsoft's AI Agents for Beginners β†’ https://lnkd.in/d59MVgic ➑️ Prompt Engineering Guide β†’ https://lnkd.in/ewsbFwrP ➑️ AI Agent Papers β†’ https://lnkd.in/esMHrxJX βœ… Papers: 🟑 ReAct β†’ https://lnkd.in/eZ-Z-WFb 🟑 Generative Agents β†’ https://lnkd.in/eDAeSEAq 🟑 Toolformer β†’ https://lnkd.in/e_Vcz5K9 🟑 Chain-of-Thought Prompting β†’ https://lnkd.in/eRCT_Xwq 🟑 Tree of Thoughts β†’ https://lnkd.in/eiadYm8S 🟑 Reflexion β†’ https://lnkd.in/eggND2rZ 🟑 Retrieval-Augmented Generation Survey β†’ https://lnkd.in/eARbqdYE Access all β‡’ https://lnkd.in/e-GA-HRh By: https://t.me/CodeProgrammer 🟑

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Start small and build steady income: learn the basics inside the app, earn your first tokens, and unlock higher rewards as yo
Start small and build steady income: learn the basics inside the app, earn your first tokens, and unlock higher rewards as you progress. Bring friends later to multiply results without extra risk. Start now! #ad InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Think crypto mining is just for whales? Discover how anyone can earn tokens and unlock upgrades and artifacts with Padma Web3
Think crypto mining is just for whales? Discover how anyone can earn tokens and unlock upgrades and artifacts with Padma Web3’s play-to-earn ecosystem. Boost your mana, invite friends, and turn your time into real rewards β€” no special equipment needed. Curious about the next big thing? See what everyone is mining right now. Start now! #ad InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Python Cheat Sheet (very very important) πŸ“– Compact Python cheat sheet covering setup, syntax, data types, variables, strings, control flow, functions, classes, errors, and I/O. Link: https://discord.com/channels/942740928706281524/1423994784720359567/1424711790947864669

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Big surprise in our channels on Discord https://discord.gg/PGZku7DrSz

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning
πŸ“Œ Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date
πŸ“Œ Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-08-27 | ⏱️ Read time: 13 min read One (tiny) dataset, six imputation methods?

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Data Analytics
πŸ–₯ Extremely useful collection of 800+ SQL questions frequently asked in interviews. It also includes tasks for self-study and many examples. The collection is perfect for those who want to improve their SQL skills, refresh their knowledge, and test themselves. β–ͺ️ GitHub https://t.me/addlist/8_rRW2scgfRhOTc0 ⚑️

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Great find for developers: free cheat sheets on Deep Learning and PyTorch A detailed guide to creating and training neural ne
Great find for developers: free cheat sheets on Deep Learning and PyTorch A detailed guide to creating and training neural networks - link Basic principles and practice of working with PyTorch - link πŸ‘‰ @CODEPROGRAMMER

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Awesome interactive textbook on probability theory and statistics Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works Get it here, I recommend opening it on a desktop https://seeing-theory.brown.edu/ πŸ‘‰ @DataScienceM

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning
πŸ“Œ Extracting Structured Vehicle Data from Images πŸ—‚ Category: πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 10 min read Build an Autom
πŸ“Œ Extracting Structured Vehicle Data from Images πŸ—‚ Category: πŸ•’ Date: 2025-01-27 | ⏱️ Read time: 10 min read Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Awesome interactive textbook on probability theory and statistics Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works Get it here, I recommend opening it on a desktop https://seeing-theory.brown.edu/ πŸ‘‰ @DataScienceM

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning
Awesome interactive textbook on probability theory and statistics Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works Get it here, I recommend opening it on a desktop https://seeing-theory.brown.edu/ πŸ‘‰ @DataScienceM I spent years chasing success until I found the 7 daily habits no one talks aboutβ€”now everything’s changed for me. Most people miss the real secret. See what you’ve been overlooking: Success Tips πŸ”₯ | InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning
πŸ“Œ How to Build a Genetic Algorithm from Scratch in Python πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 16 m
πŸ“Œ How to Build a Genetic Algorithm from Scratch in Python πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 16 min read A complete walkthrough on how one can build a Genetic Algorithm from scratch in Python,…

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Github Top Repositories
Python library RetinaFace for face detection and working with key points (eyes, nose, mouth) Supports face alignment, easily
Python library RetinaFace for face detection and working with key points (eyes, nose, mouth) Supports face alignment, easily installed via pip install retina-face, and works based on deep models from the insightface project. An excellent tool for tasks in computer vision and face recognition. Usage examples: 
from retinaface import RetinaFace

resp = RetinaFace.detect_faces("img1.jpg")
print(resp)

{
    "face_1": {
        "score": 0.9993440508842468,
        "facial_area": [155, 81, 434, 443],
        "landmarks": {
          "right_eye": [257.82974, 209.64787],
          "left_eye": [374.93427, 251.78687],
          "nose": [303.4773, 299.91144],
          "mouth_right": [228.37329, 338.73193],
          "mouth_left": [320.21982, 374.58798]
        }
  }
}
πŸ‘‰ @DataScienceN

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Creating QR codes with Python in just a few lines of code Anyone can generate their own QR code for a link, text, or even Wi-
Creating QR codes with Python in just a few lines of code Anyone can generate their own QR code for a link, text, or even Wi-Fi data. For this, the qrcode library and the PIL module are used 
pip install qrcode pillow
import qrcode
from PIL import Image

data = input("Enter data for QR: ")
qr = qrcode.QRCode(version=3, box_size=8, border=4)
qr.add_data(data)
qr.make(fit=True)

image = qr.make_image(fill="black", back_color="aqua")
image.save("qr_code.png")
Image.open("qr_code.png")
The output is a ready QR code with any text or link. You can change colors, sizes, and style to fit your design πŸ™‚ πŸ‘‰ https://t.me/CodeProgrammer

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning
πŸ“Œ A Guide to Clustering Algorithms πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-09-06 | ⏱️ Read time: 6 min read An overview of c
πŸ“Œ A Guide to Clustering Algorithms πŸ—‚ Category: DATA SCIENCE πŸ•’ Date: 2024-09-06 | ⏱️ Read time: 6 min read An overview of clustering and the different families of clustering algorithms.

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
What if you could double your trading powerβ€”today? Start with just $200 at Elite Gold Trading, and get a $200 bonus from our
What if you could double your trading powerβ€”today? Start with just $200 at Elite Gold Trading, and get a $200 bonus from our partner broker, plus +20% on every future deposit. Don’t waitβ€”join now and copy proven AI strategies in real time. Trade smarter, grow faster, and see real results. Get started here #ad InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Repost from Machine Learning
πŸ“Œ Image Segmentation With K-Means Clustering πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-09-05 | ⏱️ Read time: 11 min read A
πŸ“Œ Image Segmentation With K-Means Clustering πŸ—‚ Category: MACHINE LEARNING πŸ•’ Date: 2024-09-05 | ⏱️ Read time: 11 min read An introduction with Python

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 813
Google Collab notebooks to learn everything you need to master prompt engineering with Claude - from basic structure and role
Google Collab notebooks to learn everything you need to master prompt engineering with Claude - from basic structure and role prompting to advanced techniques like few-shot learning, avoiding hallucinations, and tool use. Perfect interactive lessons to level up your AI skills Link: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P