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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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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 67 815 subscribers, ranking 2 419 in the Education category and 5 033 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 67 815 subscribers.

According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 57 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.13%. Within the first 24 hours after publication, content typically collects 1.69% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 799 views. Within the first day, a publication typically gains 1 149 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • 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 13 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.

67 815
Subscribers
+324 hours
-187 days
+5730 days
Posts Archive
Transformer: Multi-Head Attention Math vs Code πŸ‘¨β€πŸ’» I made this visualization to show you how to implement the multi-head attention math in PyTorch within 50 LoC. Multi-Head Attention is what makes the Transformer's performance outstanding. Is it useful to you❓ πŸ“‚ Tags: #ML #TRANSFORMER http://t.me/codeprogrammer ⭐️

Yan Chen - Transformer: Attention by hand ✍️ Is it useful to you❓ πŸ“‚ Tags: #ML #TRANSFORMER http://t.me/codeprogrammer ⭐️

"UNLOCK YOUR TRADING POTENTIAL! Discover the Secret to Making Consistent Profits in Forex & Gold Trading! Join our Exclusive
"UNLOCK YOUR TRADING POTENTIAL! Discover the Secret to Making Consistent Profits in Forex & Gold Trading! Join our Exclusive Telegram Channel for: REAL-TIME SIGNALS EXPERT ANALYSIS MARKET INSIGHTS BEGINNER-FRIENDLY EDUCATION Maximize Your Profits with Our Proven Strategies! Join Now and Start Trading Like a Pro! #ad

Airdrop in 20/10/2024 Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant This is my way to get resources I love airdrops https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7

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Airdrop in 20/10/2024 Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant This is my way to get resources I love airdrops https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7

Airdrop in 20/10/2024 Get money from this airdrop and convert $Tomato to usd and subscribe in Coursera grant This is my way to get resources I love airdrops https://t.me/Tomarket_ai_bot/app?startapp=0001oVe7

Add your name to the list of candidates to win free grants, courses, and books by New Year's. The first 100 names will be selected and awarded grants, courses, or books based on the points they accumulate. Register here 🀠

Pandas ➑️ Polars ➑️ SQL ➑️ PySpark translations: Is it useful to you❓ πŸ“‚ Tags: #pandas #Polars #sql #Pyspark http://t.me/code
Pandas ➑️ Polars ➑️ SQL ➑️ PySpark translations: Is it useful to you❓ πŸ“‚ Tags: #pandas #Polars #sql #Pyspark http://t.me/codeprogrammer ⭐️

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Transformer by Hand ✍️ in 5 Minutes with Anna Rahn πŸ“‚ Tags: #python #ML #Transformer http://t.me/codeprogrammer ⭐️

Web scraping will never be the same! Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs an
Web scraping will never be the same! Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications. Here’s why it’s a game-changer: πŸ†“ Free and open-source ⭐️ Blazing fast performance, πŸ€– LLM-friendly output formats (JSON, cleaned HTML, markdown) 🌍 Supports crawling multiple URLs simultaneously 🎨 Extracts all media tags (Images, Audio, Video) πŸ”— Extracts all external and internal links But that’s not all: πŸ“š Extracts metadata from pages βœ… User-agent customization βœ… Takes screenshots of pages πŸ“„ Executes custom JavaScript before crawling πŸ“‚ Tags: #python #ML #LLM http://t.me/codeprogrammer ⭐️

Let's open a new page and restore interaction to normal We want 100 interactions and I promise you more

LSTM by hand ✍️ Excel πŸ“‚ Tags: #python #ML #LSTM http://t.me/codeprogrammer ⭐️

LSTM by hand ✍️ Excel πŸ“‚ Tags: #python #ML #LSTM http://t.me/codeprogrammer ⭐️ Download Excel file πŸ‘‡

Please enter your name to receive financial funding ranging from $10 to $300, which will allow you to register for Coursera's annual grants. Link for registration and submission.

Hello, my friends, The main reason for making some information and resources paid is that no one appreciates the value of the time and effort we spend to obtain the best results and resources for you. A low number of interactions... a low number of stars. I don't care about the money, but I want recognition for my efforts. I'm not willing to let my hard work and time go to waste for selfish individuals. This is the link to my paid channel where I provide all resources and information for free. https://t.me/+Tdshx2j5cZ00N2Ji Eng. Hussein Sheikho βœ…

Based on leaks, Coursera has launched its new token, Circle, which will be converted into real money by the end of next month
Based on leaks, Coursera has launched its new token, Circle, which will be converted into real money by the end of next month. The more points you accumulate, the greater your chances of receiving a long-term Coursera grant. Collect circle tokens from here. Collecting tokens only requires you to complete daily tasks. The number of people working to collect Circle tokens has surpassed five million. Your life will change for the better. Sign up here for the Coursera grant.

Machine Learning with Python - Statistics & analytics of Telegram channel @codeprogrammer