Machine Learning with Python
رفتن به کانال در Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Machine Learning with Python
کانال Machine Learning with Python (@codeprogrammer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 68 137 مشترک است و جایگاه 2 366 را در دسته آموزش و رتبه 4 740 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 68 137 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 30 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 86 و در ۲۴ ساعت گذشته برابر 27 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 4.07% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.52% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 775 بازدید دریافت میکند. در اولین روز معمولاً 1 037 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 5 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند insidead, learning, degree, evaluation, algorithm تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 31 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
68 137
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-297 روز
+8630 روز
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Repost from Github Top Repositories
🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
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📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
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📝 Description: Learn System Design concepts and prepare for interviews using free resources.
🔗 Repository URL: https://github.com/ashishps1/awesome-system-design-resources
🌐 Website: https://blog.algomaster.io
📖 Readme: https://github.com/ashishps1/awesome-system-design-resources#readme
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💻 Programming Languages: Java - Python
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#computer_science #distributed_systems #awesome #backend #scalability #interview #interview_questions #system_design #hld #high_level_design================================== 🧠 By: https://t.me/DataScienceM
Repost from Learn Python Coding
In Python, you can unpack sequences using *, to work with a variable number of elements. The * can be placed anywhere and it will collect all the extra elements into a separate variable.
a, b, c = 10, 2, 3 # Standard unpacking
a, *b = 10, 2, 3 # b = [2, 3]
a, *b, c = 10, 2, 3, 4 # b = [2, 3]
*a, b, c = 10, 2, 3, 4 # a = [10, 2]
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What's inside:
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Repost from Machine Learning
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