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 68 117 subscribers, ranking 2 375 in the Education category and 4 809 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 117 subscribers.
According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 120 over the last 30 days and by -14 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.55%. Within the first 24 hours after publication, content typically collects 2.02% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 099 views. Within the first day, a publication typically gains 1 378 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 27 August, 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.
68 117
Subscribers
-1424 hours
-667 days
+12030 days
Posts Archive
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Repost from Python Courses & Resources
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Repost from Machine Learning
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🎓 Thesis • Dissertation • Research • Programming • Simulation
From a single research idea…
to a complete academic masterpiece.
🔹 Professional assistance for:
✔️ Master’s & PhD Theses
✔️ ISI / Scopus Articles
✔️ Research Proposals & Methodology
✔️ Data Analysis & Statistical Modeling
✔️ AI & Machine Learning Projects
✔️ MATLAB • Python • Simulink • Abaqus • COMSOL • Ansys • ETAP • PSCAD • HOMER • Proteus • LabVIEW
✔️ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
✔️ Rare & High-Quality Datasets
✔️ Simulation Projects & Optimization Algorithms
✔️ Academic Presentation Design
✔️ Journal Revision & Reviewer Response Preparation
📊 Accurate Results
📚 Professional Documentation
💻 Clean & Structured Coding
🔒 Full Confidentiality
⏳ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
✨ Turning complex ideas into publishable research.
📩 Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
Stop. Unlock the scalper feed
I wasn’t supposed to share this publicly… but if you’re in the “quiet money” circle, you’ll get it. Inside the insider signal stream we trade like pros: quick entries, tight SL, clean TPs 🕵️♂️💰📈
Leaked Checklist (what most traders never do):
- Spot the Gold scalp zone and layer slowly 🥷
- Place SL first, then aim TP1/TP2-no guessing 🎯
- Close partials + set breakeven to protect wins 🛡️
- Track “Round” results and only repeat what’s working ✅
Want today’s setup? Get access via join the win-log channel.
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