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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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 68 147 subscribers, ranking 2 377 in the Education category and 4 752 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 147 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 47 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.40%. Within the first 24 hours after publication, content typically collects 1.55% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 315 views. Within the first day, a publication typically gains 1 056 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- 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 04 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.
68 147
Subscribers
-424 hours
+307 days
+4730 days
Posts Archive
▶️ The best project oriented videos
💻 To learn data science
👨🏻💻 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!
✅ Here I put 17 real data science projects in video form:👇
1️⃣ Making machine learning transparent with LINK ⬅️ AI
2️⃣ LINK practical guide ⬅️ PySpark
3️⃣ Construction of LINK model ⬅️ SRKGPT
4️⃣ Building a recovery system ⬅️ LINK
5️⃣ Strengthening small models ⬅️ (2) , (1)
6️⃣ Set Falon and Lama-2 ⬅️ (2) , (1)
7️⃣ Embedding data using LINK ⬅️ BERT
8️⃣ Compression of models ⬅️ LINK
9️⃣ Dynamic pricing in business ⬅️ LINK
1️⃣ Product embedding in big data ⬅️ LINK
1️⃣ Twitter recommender systems ⬅️ LINK
1️⃣ How the Twitter algorithm works ⬅️ LINK
1️⃣ Pinterest advertising systems ⬅️ LINK
1️⃣ Search for the nearest neighbor ⬅️ LINK
1️⃣ LINK controller ⬅️ PID
1️⃣ Training neural networks ⬅️ LINK
⚫️ Data dimensionality reduction with LINK ⬅️ PCA
5 Free Courses for Mastering LLMs
Link: https://machinelearningmastery.com/5-free-courses-mastering-llms
https://t.me/CodeProgrammer ✅
Pandas is getting outdated.
5 reasons you should move to FireDucks 👇
1. Requires changing ONLY ONE line of code:
↳ Replace "𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱" with "𝗶𝗺𝗽𝗼𝗿𝗲 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱"
↳ The rest of the entire code remains the same.
↳ So, if you know Pandas, you already know how to use FireDucks.
↳ Done!
2. Ridiculously faster as per official benchmarks:
↳ Modin had an average speed-up of 0.9x over Pandas.
↳ Polars had an average speed-up of 39x over Pandas.
↳ 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.
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #FireDucks
http://t.me/codeprogrammer ⭐️
List of Running Processes using Python
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer
http://t.me/codeprogrammer ⭐️
🐱 7 of the best GitHub repos
✅ To enter the world of data analysis and data science
1⃣ 100 Days of ML Code repo
✍️ A hundred-day program for learning and practicing machine learning coding.
🔢 Awesome Data Science repo
✍️ A curated list of great data science resources such as books, software, and tools.
🔢 Data Science for Beginners repo
✍️ A repository from Microsoft that has a 10-week course with 20 lessons for beginners. Each lesson includes videos, quizzes, challenges and more.
🔢 Data Science Interviews Repo
✍️ A repository of questions and answers for science job interviews.
🔢 ML Technical Interviews repo
✍️ A good guide for machine learning and artificial intelligence technical interviews.
🔢 ML Interviews repo
✍️ A repository containing machine learning interview questions from basic topics to complex topics such as neural networks and reinforcement learning.
🔢 Data Science Python Notebooks repo
✍️ A collection of notebooks in various fields of data science such as deep learning, machine learning, data analysis and Python topics.
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer
http://t.me/codeprogrammer ⭐️
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Lisa will leave a link with free entry to a channel that draws money every day. Each subscriber gets between $100 and $5,000.
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TRONKEEPER Foundation announced a financial grant ($40 USD, subject to increase) for students for the first 100,000 people who register on its platform. Register on the platform before the number is complete.
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Python List Methods clearly Explained
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer
http://t.me/codeprogrammer ⭐️
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Free Access to our premium Machine Learning & Data Science Channel
👇👇
https://t.me/datascience69
Amazing premium resources only for my subscribers
🎁 Free Data Science Courses
🎁 Machine Learning Notes
🎁 Python Free Learning Resources
🎁 Learn AI with ChatGPT
🎁 Build Chatbots using LLM
🎁 Learn Generative AI
🎁 Free Coding Certified Courses
Free Courses by Google
Do react with ♥️ if you need more content like this
ENJOY LEARNING 👍👍
💠 All free Kaggle courses for data science
📁 Along with the course completion certificate
✅ Python ⬅️ link
✅ An introduction to machine learning ⬅️ link
✅ Pandas ⬅️ link
✅ Medium machine learning ⬅️ link
✅ Data visualization ⬅️ link
✅ Feature engineering ⬅️ link
✅ An introduction to the SQL language ⬅️ link
✅ Advanced SQL language ⬅️ link
✅ An introduction to deep learning ⬅️ link
✅ Computer vision ⬅️ link
✅ Time series ⬅️ link
✅ Data cleanup ⬅️ link
✅ Geographical analysis ⬅️ link
✅ Explainability of machine learning ⬅️ link
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer
http://t.me/codeprogrammer ⭐️
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📕 Python Basics Made Simple!
📷 Course: AI Python for Beginners
👨💻 Instructor: Andrew Ng
In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey.
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📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer
http://t.me/codeprogrammer ⭐️
