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Machine Learning

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Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Network:Machine Learning with Python Syria211 Technologies & Applications3 207...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 41 884 subscribers, ranking 3 207 in the Technologies & Applications category and 211 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 41 884 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 467 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 5.28%. Within the first 24 hours after publication, content typically collects 2.07% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 211 views. Within the first day, a publication typically gains 866 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 distance, insidead, gpu, learning, degree.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 27 October, 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 Technologies & Applications category.

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41 884

Subscribers

+324 hours

+527 days

+46730 days

2 211

Post views

~ 86624 hours

~ 1 18248 hours

5.28%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

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The 25 Best Free Resources for Learning AI in 2026 Learning artificial intelligence in 2026 is both easier and harder than it was a couple of years ago. Easier, because the best courses from Stanford and MIT, books by leading researchers, and hands-on lessons from Hugging Face are all openly available. Harder, because there is now far too much material, and the models and tools change every week. We have collected 25 proven free resources and arranged them by stage: from mathematics to LLMs, agents, and reading the latest papers. Read: https://enghusseinsheikho.substack.com/p/the-25-best-free-resources-for-learning?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

41 884

Repost from Machine Learning with Python

🔖 637 interactive modules on ML and AI On VizLearn, you can visually explore: 🫡 Gradient descent; 🫡 SVM and PCA; 🫡 Bayes' theorem; 🫡 BPE tokenization; 🫡 Query, Key, and Value; 🫡 KV cache; 🫡 Quantization; 🫡 Neural networks and LLMs. Change the input data and immediately see the results of the calculations. ⛓ Link to the tutorial https://vizlearn.in/

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🔥 Free IT & Dev Study Kits – 2026 Prep, No Signup If you’re prepping for cloud, dev, or AI roles this year, these free kits cover the gaps most people skip — cert basics, hands-on labs, and mock exams. No signup traps, no hidden fees. 📘 Cert E-Book — covers Cisco & AWS fundamentals, good for first-time cert takers → https://bit.ly/4yrk1Ti 🪜 Online Free Course — structured path, works as a refresher before exams → https://bit.ly/4hUprRP ☁️ Free AI Materials — LLM basics to fine-tuning practice notebooks → https://bit.ly/4yt1iXy 📊 Cloud Study Guide — cheat-sheet style, handy for interview prep → https://bit.ly/4el4Eod 🧠 Free Mock Exam — test yourself before booking the real thing → https://bit.ly/4sbWlkl 📌 Save this or forward it to your dev/study group — good resources are worth sharing. 💪 🌐 Community: https://chat.whatsapp.com/CS7VOvQCLZG5BJPazBGm1v 📲 Personalized help: https://wa.link/xd2fu6 #Python #Cloud #AWS #Cisco #AI #MachineLearning #DevOps #ITCertification #FreeResources #TechCareers

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📚 7 Best Websites to Learn Computer Science Subjects for Free More: https://enghusseinsheikho.substack.com/p/7-best-websites-to-learn-computer?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

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Repost from Machine Learning with Python

https://substack.com/@husseinsheikho?utm_source=share&utm_medium=android&r=3hwnr8 Follow me to more posts and useful content

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Repost from Data Analytics

You can literally enter a sentence and see how the Transformer processes it. This interactive tool runs a GPT-like model directly in your browser and allows you to trace the entire process: Tokenization → Embeddings → Q/K/V → Attention Mechanism → MLP → Logits → Probabilities of the next token. You can explore attention maps, intermediate values, and adjust parameters like temperature, top-k, and top-p to see how they affect the generation. If Transformers still seem like a collection of blocks connected by arrows, you should definitely try this. https://poloclub.github.io/transformer-explainer/ https://t.me/DataAnalyticsX

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🚀 RESEARCH & DIGITAL SOLUTIONS — YOUR PARTNER IN SUCCESS! Are you a researcher, student, business owner, or developer looking for professional support? We are here to help you turn your ideas into real results! 💡 🔬 1. Scientific Research & Academic Publishing Professional review and evaluation of scientific manuscripts before submission. Guidance on journal selection and publication strategies. Expert advice to improve research quality and presentation. Support for researchers throughout the academic publishing process. 💻 2. Website & Software Development Professional website design and development for businesses and individuals. Custom electronic systems tailored to your needs. Technical assistance for students and academic projects. ⚙️ 3. API & User Interface (UI) Services API development and integration. Modern, responsive, and user-friendly interface design. Seamless integration between applications and systems. 📊 4. Real-World & Synthetic Datasets Providing real-world datasets for research and analysis. Creating customized synthetic datasets according to your requirements. Data support for scientific research, machine learning, and AI projects. 🤝 5. FREE Discussion & Consultation Discuss your research ideas and technical projects with us. Get initial guidance and recommendations. Explore the best solutions for your academic or professional needs. 🌟 WHY CHOOSE US? ✅ Research and technology expertise in one place. ✅ Tailored solutions based on your needs. ✅ Professional guidance and practical support. ✅ Free initial discussion and consultation. 📩 CONTACT US ON TELEGRAM 👨‍💻 Team Admin & Support: @Omidyzd62 💬 Feel free to contact us to discuss your ideas, ask questions, or explore how we can help! Your Research. Your Ideas. Our Expertise. Your Success. 🎯 #ResearchSupport #AcademicPublishing #ScientificResearch #WebDevelopment #SoftwareDevelopment #API #UIUX #Datasets #MachineLearning #ArtificialIntelligence #StudentSupport

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🚀 ChatGPT Plus & Gemini AI Pro🤖 ChatGPT Plus — 1 Month: $8 ✨ Gemini AI Pro — 18 Months: $2.50 🧠 Claude API ⚡ Fast delivery 🌍 Worldwide 🔐 Directly via Telegram 👉 https://t.me/Hppykeys_BOT?start=arb0910

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Tracking experiments and versioning ML models with MLflow. 🤖 Machine learning development requires saving hyperparameters, metrics, and artifacts for each run to compare results. The MLflow platform logs key metrics and registers trained models in a central registry. We will install MLflow, run a script to log parameters, and register the model. Let's install the

mlflow

and

scikit-learn

libraries to conduct and log a test experiment. 📦

pip install mlflow scikit-learn

The dependencies for managing ML experiments have been successfully installed. ✅ Now, let's create a Python script called

train.py

that will train a simple model, log metrics, and save it to MLflow. 🐍

import mlflow
from sklearn.ensemble import RandomForestClassifier

mlflow.set_experiment("demo_experiment")
with mlflow.start_run():
    params = {"n_estimators": 100, "max_depth": 5}
    mlflow.log_params(params)
    model = RandomForestClassifier(**params)
    mlflow.log_metric("accuracy", 0.95)
    mlflow.sklearn.log_model(model, "rf_model")

The training script and metric logging are set up and ready to be executed. 🚀 Let's run the training script to capture the results and parameters in the local MLflow storage.

python3 train.py

The experiment has been successfully completed, and the parameters and model artifacts have been saved. 📊

# verification (check for registered runs in MLflow)
mlflow runs list --experiment-name demo_experiment

Expected output:

demo_experiment ... FINISHED

# cleanup (remove the generated directory with artifacts and the script)
rm -rf mlruns train.py

Using MLflow helps avoid chaos when tuning hyperparameters and ensures reproducibility of results. Deploy an MLflow server on a separate host for the entire team to collaborate on the project. 🌐 #MLflow #MachineLearning #Python #DataScience #MLOps #AI ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

41 884

Repost from Machine Learning with Python

A distinctive bot for subscribing to courses on the most popular educational platforms across multiple fields, most notably programming, artificial intelligence, mechanics, medicine, and other sciences. 🎓🤖 This bot provides a free subscription to any course available within the bot. 🆓 https://t.me/UdemySybot?start=ref_418788114 #FreeCourses #Programming #AI #Education #Udemy #TelegramBots

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100 Machine Learning Interview Questions and Answers

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Repost from Udemy Free

Hands On Python Data Science - Data Science Bootcamp Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning 🏷 Category: Development 🌍 Language: English 👥 Students: 31,524 students ⭐️ Rating: 4.3/5.0 💰 Price: ~~$14.99~~ ⟹ FREE 🆔 Coupon: •••••••••• (tap below to reveal) 🔓 Tap "Get Coupon" below — the code unlocks inside the app after a short rewarded ad. 💎 By: https://t.me/Udemy26 #Programming #Coding #Development #Tech #Python #DataScience

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Repost from Machine Learning with Python

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