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Machine Learning with Python

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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📈 Telegram kanali Machine Learning with Python analitikasi

Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 68 482 obunachidan iborat bo'lib, Taʼlim toifasida 2 406-o'rinni va Hindiston mintaqasida 4 586-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 68 482 obunachiga ega bo‘ldi.

04 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -75 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 3.38% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.57% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 314 marta ko‘riladi; birinchi sutkada odatda 1 073 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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Offer for a period of two hours only: Subscribe to the paid channel and get all the books and courses for free in the form of Telegram files (not available here) for only $ 4 for one time only https://t.me/+LnCmAFJO3tNmYjUy Contact @Hussein_Sheikho

Offer for a period of two hours only: Subscribe to the paid channel and get all the books and courses for free in the form of Telegram files (not available here) for only $ 4 for one time only Contact @Hussein_Sheikho

A seventh channel will be launched tomorrow, stay tuned https://t.me/DataScienceM

🌐 New Data Science Books Team Policy Update: Our channels and groups will not remain with the same content. Content will be divided into three channels: ✅ The first channel @Datascience_books will be on Data Science, Artificial Intelligence, Big Data and Data Analysis. ✅ The second channel @datascience4 will be about Python and Python frameworks and algorithms. ✅ The third channel @ebooks2023 will be for web applications, mobile applications, software design and analysis, and other programming languages. ✅ The fourth channel @codeprogrammer will be dedicated to the most prominent events, projects, code and explanations related to Python and data science - it supports Arabic and English. ✅ The fifth channel @udemy13 will be for downloading the latest offers of Udemy platforms and others related to programming languages and data science - registration links will be direct ✅ Channel 6 @DatascienceT will be dedicated to publishing the latest and most important articles and datasets related to data science, artificial intelligence, and more. ✅ The Arab group @Pythonarab is a group for Arab programmers only and it is only allowed to talk about everything related to Python. ✅ The English group @Datascience9 is a group for English-speaking programmers. ♻️ Direct joining link for all six channels and groups: https://t.me/addlist/8_rRW2scgfRhOTc0 🔆 The paid channel will contain all the books in the three channels + important books available only in the paid channel + data science courses, programming languages, and others. All files in the paid channel will be Telegram files without any links. ♻️ Link to request to join the paid channel: https://t.me/+LnCmAFJO3tNmYjUy 🌀 In the three channels, approximately 6 books will be published daily, including an important book that will be paid and requires subscription to the paid channel to be downloaded. 🌀 A new update has been issued to the paid bot: it now contains more than sixty million books related to the field of data science and other sciences, with the ability to download all scientific articles - Telegram files 🌀 Support and response will be available only to premium members (paid channel or paid bot subscribers). ✳️ For any inquiries or subscription requests, please contact: @Hussein_sheikho. 🌐 The team will be funded through subscriptions, paid advertising, and donations. Donations are always important in a society that provides free knowledge to all. We hope that those who can contribute and donate will contribute. Data Science Books Team.

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A new update has been launched from the book download bot, the update is huge and the number of books in the bot is 60 million books and 30 million articles Subscription: @Hussein_Sheikho

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There's a new programming language in town - it's Mojo! I'm more than a little excited about it. It's Python, but with none o
There's a new programming language in town - it's Mojo! I'm more than a little excited about it. It's Python, but with none of Python's problems. You can write code as fast as C, and deploy small standalone applications like C. More details: https://www.fast.ai/posts/2023-05-03-mojo-launch.html

🐍 Build a Mobile Application With the Kivy Python Framework — https://realpython.com/mobile-app-kivy-python/ By @CodeProgram
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Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatica
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🐍 Beautiful Soup: Build a Web Scraper With Python — https://realpython.com/beautiful-soup-web-scraper-python/ #python By @Co
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إنشاء أسئلة الاختيار من متعدد (MCQs) تلقائيًا من أي محتوى باستخدام الذكاء الاصطناعي سنرى في هذا المنشور كيفية إنشاء أسئلة الا
إنشاء أسئلة الاختيار من متعدد (MCQs) تلقائيًا من أي محتوى باستخدام الذكاء الاصطناعي سنرى في هذا المنشور كيفية إنشاء أسئلة الاختيار من متعدد (MCQs) تلقائيًا من أي قصة أو مقالة باستخدام بايثون والذكاء الاصطناعي. هذه خطوة واحدة نحو إنشاء تلك MCQs التي تراها تلقائيًا في المدرسة الإعدادية / المدرسة الثانوية. الإدخال: ستكون المدخلات إلى برنامجنا مقالة وستكون المخرجات عبارة عن مجموعة من MCQs التي يتم إنشاؤها تلقائيًا مع عوامل تشتيت فعالة (اختيارات إجابة خاطئة) رابط المقالة: https://is.gd/7wJLSn #منقول @CodeProgrammer ⭐️