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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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๐Ÿ“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 67 813 subscribers, ranking 2 417 in the Education category and 5 033 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 67 813 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 56 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.96%. Within the first 24 hours after publication, content typically collects 2.43% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 683 views. Within the first day, a publication typically gains 1 650 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.

๐Ÿ“ Description and content policy

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

Thanks to the high frequency of updates (latest data received on 12 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.

67 813
Subscribers
No data24 hours
-127 days
+5630 days
Posts Archive
Best LLMs Courses Link: https://www.mltut.com/best-large-language-models-courses/ #MachineLearning #DeepLearning #BigData #Da
Best LLMs Courses Link: https://www.mltut.com/best-large-language-models-courses/ #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #LLMs #AIagents http://t.me/codeprogrammer โญ๏ธ

Master #DataAnalytics for real-world problems. I have curated a list of 40 Data Analytics Projects (solved & explained) that
Master #DataAnalytics for real-world problems. I have curated a list of 40 Data Analytics Projects (solved & explained) that will help you build analytics skills using #Python. Includes projects like: 1. Rainfall Trends in India Analysis 2. Netflix Content Strategy Analysis 3. Creating a Mutual Fund Plan 4. Stock Market Portfolio Optimization 5. Metro Operations Optimization 6. Analyzing the Impact of Carbon Emissions Find this list of projects here: https://thecleverprogrammer.com/2024/11/01/data-analytics-projects-with-python/ ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #deeplearning #Projects http://t.me/codeprogrammer โญ๏ธ

๐Ÿ“ˆHow to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
๐Ÿ“ˆHow to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market! She was able to make over $15,000 in the last month! โ—๏ธ Right now she has started a marathon on her channel and is running it absolutely free. ๐Ÿ’ก To participate in the marathon, you will need to : 1. Subscribe to the channel SIGNALS BY LISA TRADER ๐Ÿ“ˆ 2. Write in private messages : โ€œMarathonโ€ and start participating! ๐Ÿ‘‰CLICK HERE๐Ÿ‘ˆ

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๐Ÿ“ˆHow to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
๐Ÿ“ˆHow to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market! She was able to make over $15,000 in the last month! โ—๏ธ Right now she has started a marathon on her channel and is running it absolutely free. ๐Ÿ’ก To participate in the marathon, you will need to : 1. Subscribe to the channel SIGNALS BY LISA TRADER ๐Ÿ“ˆ 2. Write in private messages : โ€œMarathonโ€ and start participating! ๐Ÿ‘‰CLICK HERE๐Ÿ‘ˆ

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โ–ถ๏ธ The best project oriented videos ๐Ÿ’ป To learn data science ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป The best way to learn data science is to combine theoretical learning with practical projects. After you have mastered the main concepts and tools, stop wasting your time and start learning project-based and doing real projects! โœ… Here I put 17 real data science projects in video form:๐Ÿ‘‡ 1๏ธโƒฃ Making machine learning transparent with LINK โฌ…๏ธ AI 2๏ธโƒฃ LINK practical guide โฌ…๏ธ PySpark 3๏ธโƒฃ Construction of LINK model โฌ…๏ธ SRKGPT 4๏ธโƒฃ Building a recovery system โฌ…๏ธ LINK 5๏ธโƒฃ Strengthening small models โฌ…๏ธ (2) , (1) 6๏ธโƒฃ Set Falon and Lama-2 โฌ…๏ธ (2) , (1) 7๏ธโƒฃ Embedding data using LINK โฌ…๏ธ BERT 8๏ธโƒฃ Compression of models โฌ…๏ธ LINK 9๏ธโƒฃ Dynamic pricing in business โฌ…๏ธ LINK 1๏ธโƒฃ Product embedding in big data โฌ…๏ธ LINK 1๏ธโƒฃ Twitter recommender systems โฌ…๏ธ LINK 1๏ธโƒฃ How the Twitter algorithm works โฌ…๏ธ LINK 1๏ธโƒฃ Pinterest advertising systems โฌ…๏ธ LINK 1๏ธโƒฃ Search for the nearest neighbor โฌ…๏ธ LINK 1๏ธโƒฃ LINK controller โฌ…๏ธ PID 1๏ธโƒฃ Training neural networks โฌ…๏ธ LINK โšซ๏ธ Data dimensionality reduction with LINK โฌ…๏ธ PCA

Pandas is getting outdated. 5 reasons you should move to FireDucks ๐Ÿ‘‡ 1. Requires changing ONLY ONE line of code: โ†ณ Replace "
Pandas is getting outdated. 5 reasons you should move to FireDucks ๐Ÿ‘‡ 1. Requires changing ONLY ONE line of code: โ†ณ Replace "๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—ฝ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ ๐—ฎ๐˜€ ๐—ฝ๐—ฑ" with "๐—ถ๐—บ๐—ฝ๐—ผ๐—ฟ๐—ฒ ๐—ณ๐—ถ๐—ฟ๐—ฒ๐—ฑ๐˜‚๐—ฐ๐—ธ๐˜€.๐—ฝ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ ๐—ฎ๐˜€ ๐—ฝ๐—ฑ" โ†ณ The rest of the entire code remains the same. โ†ณ So, if you know Pandas, you already know how to use FireDucks. โ†ณ Done! 2. Ridiculously faster as per official benchmarks: โ†ณ Modin had an average speed-up of 0.9x over Pandas. โ†ณ Polars had an average speed-up of 39x over Pandas. โ†ณ But FireDucks had an average speed-up of 50x over Pandas. 3. Pandas is single-core; FireDucks is multi-core. 4. Pandas follows eager execution; FireDucks is based on lazy execution. This way, FireDucks can build a logical execution plan and apply possible optimizations. 5. That said, even under eager execution, FireDucks is way faster than Pandas, as depicted in the image below. ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #FireDucks http://t.me/codeprogrammer โญ๏ธ

List of Running Processes using Python ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/
List of Running Processes using Python ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/codeprogrammer โญ๏ธ

๐Ÿฑ 7 of the best GitHub repos โœ… To enter the world of data analysis and data science 1โƒฃ 100 Days of ML Code repo โœ๏ธ A hundred-day program for learning and practicing machine learning coding. ๐Ÿ”ข Awesome Data Science repo โœ๏ธ A curated list of great data science resources such as books, software, and tools. ๐Ÿ”ข Data Science for Beginners repo โœ๏ธ A repository from Microsoft that has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more. ๐Ÿ”ข Data Science Interviews Repo โœ๏ธ A repository of questions and answers for science job interviews. ๐Ÿ”ข ML Technical Interviews repo โœ๏ธ A good guide for machine learning and artificial intelligence technical interviews. ๐Ÿ”ข ML Interviews repo โœ๏ธ A repository containing machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning. ๐Ÿ”ข Data Science Python Notebooks repo โœ๏ธ A collection of notebooks in various fields of data science such as deep learning, machine learning, data analysis and Python topics. ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/codeprogrammer โญ๏ธ

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Python List Methods clearly Explained ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/c
Python List Methods clearly Explained ๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/codeprogrammer โญ๏ธ

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