Machine Learning with Python
Open in Telegram
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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Network:📈 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 68 170 subscribers, ranking 2 376 in the Education category and 4 741 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 170 subscribers.
According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 77 over the last 30 days and by 23 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.50%. Within the first 24 hours after publication, content typically collects 1.57% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 707 views. Within the first day, a publication typically gains 1 071 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
- Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn 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 05 September, 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.
68 170
Subscribers
+2324 hours
+717 days
+7730 days
Posts Archive
📂 Tags: #transformers #python #nlp
http://t.me/codeprogrammer 🔒
The Transformers architecture clearly explained 🫴
Our paid channel has been verified and is now level 10.
https://t.me/+Sg7lfv7C7xtjZGNi
Special offer available only for the first ten people, access all our paid content for $1.50 per month
Offer available only for the first ten people
https://t.me/+Sg7lfv7C7xtjZGNi
Special offer available only for the first ten people, access all our paid content for $1.50 per month
Offer available only for the first ten people
https://t.me/+Sg7lfv7C7xtjZGNi
📂 Tags: #transformers #python #nlp
http://t.me/codeprogrammer 🔒
The Transformer's decoder clearly explained 👇
📂 Tags: #transformers #python #nlp
http://t.me/codeprogrammer 🔒
The Transformer's encoder clearly explained 👇
🎁 Lisa has given away over $100,000 in the last 30 days. Every single one of her subscribers is making money.
She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.
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1. Subscribe to her channel
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Subscribe 👇🏻
https://t.me/+DRO5evATod00NGIx
Special offer available only for the first ten people, access all our paid content for $1.50 per month
Offer available only for the first ten people
https://t.me/+Sg7lfv7C7xtjZGNi
Paid promotion in our channel is 10$
Format (3h/forever post)
Contact @Hussein_Sheikho
✅ Screenshot-To-Code
🔨 This is a simple application that converts a screenshot into HTML/Tailwind CSS code .
✔️ The app uses GPT-4 Vision to generate code and DALL-E 3 to create similar images .
✅ The app has a React/Vite frontend and a FastAPI backend , and requires an OpenAI API key with access to the GPT-4 Vision API .
🔗 links: https://github.com/abi/screenshot-to-code
📂 Tags: #html #openai #chatgpt
http://t.me/codeprogrammer 🔒
Data Science Cheat Sheets
Quick help to make a data scientist's life easier ✅
http://t.me/codeprogrammer 🔒
💡 #deeplearning #AI #ML #python
Data Science Cheat Sheets
Quick help to make a data scientist's life easier
About Dataset
A collection of cheat sheets for various data-science related languages and topics
http://t.me/codeprogrammer 🔒
💡 #deeplearning #AI #ML #python
Andrew Ng just released two new AI Python courses for beginners!
The course teaches how to write code using AI.
If you're thinking about learning to code, now is the perfect time to do so.
https://deeplearning.ai/short-courses/ai-python-for-beginners/
http://t.me/codeprogrammer 🔒
💡 #deeplearning #AI #ML #python
Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform.
Students can now access free Coursera scholarships through MAJOR.
Don't miss the opportunity: Click here.
القناة دى قمة فى الروعة في البرمجة وفيها حوالى 40 دورة انصحكوا تشتركوا فيها 👏💙💞
https://www.youtube.com/channel/UCGbrg29FWhK503HN0KsPkjA?sub_confirmation=1
ودا جروب تليجرام تقدر تحصل فيه كورسات برمجية فى اى مجال حرفيا
https://t.me/learncsharp_programing
لو انت متخصص فى تراك ال PHP Laravel دا جروب رائع
https://t.me/phpdevelopers2024
ودا لينك لمجموعة قنوات جميلة فى مجال البرمجة
https://t.me/addlist/l31rlf77lwFjNjc0
القناة دى قمة فى الروعة في البرمجة وفيها حوالى 40 دورة انصحكوا تشتركوا فيها 👏💙💞
https://www.youtube.com/channel/UCGbrg29FWhK503HN0KsPkjA?sub_confirmation=1
ودا جروب تليجرام تقدر تحصل فيه كورسات برمجية فى اى مجال حرفيا
https://t.me/CISArab
لو انت متخصص فى تراك ال PHP Laravel دا جروب رائع
https://t.me/phpdevelopers2024
اما لو متخصص فى ال .Net Core فدا جروب عليه مشاريع كبيرة جدا
https://t.me/C_Sharp_Developers
اما لو بتحب البايثون
https://t.me/learncsharp_programing
ودا فيديو ازاى تقدر تكسب فلوس وانت طالب
https://youtu.be/aqTdGNm9tcg
🚀 Popular SQL Challenges You Should Know!
🔥1. How to Find the Second Highest Value in a Column Need to find the second highest salary? Use a combination of ORDER BY and LIMIT to get it easily:
SELECT MAX(salary) AS second_highest_salary
FROM employees
WHERE salary < (SELECT MAX(salary) FROM employees);
2. How to Find the N-th Highest Salary in a Table Want to find the N-th highest salary? Just order the salaries in descending order and use LIMIT to pick the exact one you need. For example, to find the 3rd highest salary:
SELECT salary
FROM employees
ORDER BY salary DESC
LIMIT 2,1;
📚 More SQL challenges and solutions available here: https://t.me/sql_and_dbt 🚀Repost from Data Science Books
Ace the data science interview
The book that deserves a thousand stars and more than 100 thousand requests for this book, excluding purchases
Available here (update telegram version):
https://t.me/+IucglQVKFK1hN2U6
Building Agents: Free Course
We just released a course with > 20 videos & notebooks focused on building agents. All code is open-source and the course is free!
Context
Back in June, I gave at talk at @aiDotEngineer on building agents with LangGraph. I got ~2 hrs of questions. We took these questions along with lots of feedback we've heard from users and built a course!
Module 1: Foundations
The first module includes several notebooks & videos that focus on what is an agent explained in simple terms, how to build various types of agents (routers, ReAct, etc), how to debug them w LangGraph Studio, and how to deploy them w LangGraph Cloud.
Module 2: Memory
One of the biggest questions we've heard is how to build long-running agents, which can remember important details. We show how memory works with LangGraph, and how to use various databases (SQLite, Postgres) to serve as agent memory.
Module 3: Human-In-The-Loop
Another central question with agents is allowing humans to approve actions (tools use) or modify the agent state (add feedback). We show various human in the loop interaction patterns that are supported in LangGraph, and also show how to stream the graph state during agent execution for human review.
Module 4: Controllability
The final module focuses on various design patterns for agent control flow, including parallelization of tasks and creating multi-agent teams with their own tasks / internal memory. This builds up into a customizable multi agent system for research that pulls together themes from the entire course.
Course (links to code, all videos):
https://academy.langchain.com/courses/intro-to-langgraph
http://t.me/codeprogrammer 🔒
💡 #deeplearning #AI #ML #python
