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
Show more
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
🎁 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.
🧠 Do this and she will help you earn :
1. Subscribe to her channel
2. Write “GIFT” to her private messages
3. Follow her channel and trade with her.
Repeat transactions after her = earn a lot of money.
Subscribe 👇🏻
https://t.me/+R11Pn9nL2L5mNTkx
+2
I want to recommend a statistics service for your site (counter with advanced functionality).
I'll tell you: first I launched the site, then I set a goal to find a service to collect statistics. For example, Google Analytics slows down the loading of the site that negatively affects the optimization of PageSpeed and internal SEO. Well, other major services leak user data for Google.
In short, I tried a lot of options and settled on one, CheckStat.
What advantages I found in CheckStat:
- Quick integration, it took only a few minutes to set up.
- Real-time data, you can see the activity of visitors online.
- I contacted the support team, they responded in just a few minutes.
- Unlimited and confidential data storage.
🗂 Service functionality:
Detailed real-time statistics on all key metrics.
Tracking, filtering and sorting data for any period of time by any parameters:
Countries
Regions
Cities
Browsers
Operating systems
Source
URL
Resolutions
Languages
User agents
Device types
💡 What else did you like?
- Lightweight code that doesn't affect the loading speed of the site.
- Privacy and security, namely full compliance with GDPR, PECR and CCPA as mentioned earlier↑.
🚀 I recommend you to try it today!
Link: checkstat.net
+1
📢 Zuckerberg Releases Free ChatGPT Competitor: Llama 3.1!
Mark Zuckerberg just launched Llama 3.1, a next-gen AI model with the largest dataset ever. Available in 8B, 70B, and 405B versions, it boasts a 128k token context size.
Key Highlights:
• Performance: Outperforms GPT-4o and Claude 3.5 in general knowledge, math, and translation.
• Accessibility: Downloadable by anyone, bringing advanced AI within reach.
• Strategic Move: Meta applies pressure on OpenAI with this open-source release. You probably now understand why OpenAI showed GPT-4o mini a week ago and made it so cheap - soon we will have very smart models that run very fast on any hardware.
Try It Now:
• on Hugging Face: Llama 3.1 on Hugging Face
• on NVIDIA's website: NVIDIA’s website
This release represents a major development in open-source AI, potentially allowing broader access to advanced language models.
https://t.me/DataScienceT ⭐
Free Coursera Membership
Free Udemy Membership
Only first 200 member ☄
In case you missed it, we just launched "Pretraining LLMs!"
In this course, you’ll gain in-depth knowledge of the steps to pretrain an LLM, encompassing all the steps, from data preparation to performance assessment.
Enroll for free today: https://www.deeplearning.ai/short-courses/pretraining-llms/
http://t.me/codeprogrammer ⭐️
☕️ Coursera Membership Free
🚀🚀 Get the best Server offer for your project.
--- PROMO Dedicated VPS ( KVM VDS ) just for 11.5 euro/year.
Specifications:
🔹 1 Dedicated vCore
🔹 1024 Mb Dedicated RAM
🔹 10 GB Dedicated Disk
🔹 Unmetered bandwidth
💻Perfect for:
- Web Developers
- Application Tests
- E-commerce Websites
- AND YOU if you want to be an online business guru!
Get an instant VPS just for 11.5 eurp per 1 year.
🔗🔗 Click here to claim this offer before it gets expired!
For more information:
@avenacloud @avena_cloud
Free Coursera Membership
Free Udemy Membership
Only first 200 member ☄
Repost from N/a
🐳 @whale – #1 licensed platform gaming and sportsbook on Telegram!
2mil+ people trust us, 200к+ native users on @whalesocials, and the community is only growing!😈
❤️🔥Our buns ❤️🔥
🥰Supports BTC, USDT, TON, CELO and NOT
🤑Instant withdrawals
🥰Regular giveaways
Share your thoughts and feedback of @Whale on Ton.app and Trustpilot. You make us better ❔
🙃 Prediction of the winning country of the 2024 Olympics
👨🏻💻 Our project is designed to predict the winner of the 2024 Olympics and use historical data to train a machine learning model.
📄 In this project, we train a machine learning model based on historical data by using the number of medals of countries participating in the 2021 Tokyo Olympics. This dataset includes information such as the number of medals, demographic information of countries and economic indicators. Then, based on the predicted medals, we will make a ranking to determine the winning country.
🖥 From the dataset and coding to analysis and project results, all are available in the following GitHub repo.👇
┌ 💸 Predictive Olympic Winner 2024
├ 📃 Report
└ 🐱 GitHub-Repos
http://t.me/codeprogrammer ⭐️
☕️ Coursera Membership Free
📝 List of SQL Data Science Interview Questions
✅ In famous companies in the world
👨🏻💻 If you are preparing for a data science job interview and are looking for questions in the SQL field, this list of SQL questions collected from large and famous companies can help you.👇
1️⃣ Amazon company SQL interview question
📎 Link: Amazon SQL Interview
2️⃣ Airbnb SQL interview question
📎 Link: Airbnb SQL Interview Question
3️⃣ Adobe SQL Interview Question
📎 Link: Adobe SQL Interview Question
4️⃣ Spotify SQL Interview Question
📎 Link: Spotify SQL Interview Question
5️⃣ L&T Company SQL Interview Question
📎 Link: L&T SQL Interview Question
6️⃣ Ameriprise LLC SQL query
📎 Link: Ameriprise LLC SQL Interview
7️⃣ SQL query from Tiger Analytics
📎 Link: Tiger Analytics SQL Interview
8️⃣ PWC SQL Interview Question
📎 Link: PWC SQL Interview Question
9️⃣ Honeywell SQL Interview Question
📎 Link: Honeywell SQL Interview
1️⃣ Angel One Company SQL Interview Question
📎 Link: Angel One SQL Interview
1️⃣ SQL interview questions of FAANG companies
📎 Link: FAANG SQL Interview Question
1️⃣ Accenture SQL Interview Question
📎 Link: Accenture SQL Interview
👉 BEST DATA SCIENCE CHANNELS ON TELEGRAM 👈
🚀 New Telegram Channel Alert!
We've discovered a gem for AI enthusiasts: AI.News.Daily!
Why follow AI.News.Daily? It's your go-to for:
• Daily AI Breakthroughs: Get updates every day.
• Expert Insights: Learn from the pros with easy-to-understand advice.
• Monetization Tips: Turn AI into profit.
Top picks from the channel:
• ChatGPT Prompts: Boost your productivity with these 7 mind-blowing prompts.
• Website Building: Explore top AI tools for web development.
• Comprehensive Guide: Dive into a 45-page tutorial on AI models.
• Word Processing Tools: Discover the best AI tools for all your writing needs.
• AI Selection Tool: Compare AIs by price, view detailed graphs, and explore leaderboards.
Curious? There's more to explore!
👉Check this out: @ainews_daily
🏳️🌈 5 free courses to master Python for data science
👨🏻💻 If you want to enter the data world, learning Python as the most important language in this field is essential! But there are many things to learn in Python: from Python basics to data analysis, machine learning and coding with Python. So how can you find the best resources to learn all of this?
1️⃣ Python course for beginners
⏪ This course is for beginners and in less than an hour, it will teach you the basics of Python programming such as variables, loops and lists.
📎 Link: Course Homepage
2️⃣ Python programming course (intermediate level)
⏪ Now that you have learned the basics, you can start this programming course. This course covers more advanced features of Python, such as lambda functions, generators, exception handling, and multithreading.
📎 Link: Course Homepage
3️⃣ Data analysis course with Python
⏪ This freeCodeCamp course teaches you NumPy, Pandas, Matplotlib and Seaborn libraries and includes data analysis projects.
📎 Link: Course Homepage
4️⃣ Machine learning course with Python and scikit-learn
⏪ This course teaches you machine learning algorithms with scikit-learn and how to design and implement machine learning projects.
📎 Link: Course Homepage
5️⃣ Data structure and algorithms course in Python
⏪ This free course teaches you the basic concepts of data structures and algorithms such as binary search, search trees, and sorting algorithms.
📎 Link: Course Homepage
Three good training sets to start working in the field of data science:
- Machine Learning for Beginners
- Data Science for Beginners
- Artificial Intelligence for Beginners
Coursera Membership Free
