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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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Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 815 obunachidan iborat bo'lib, Taʼlim toifasida 2 408-o'rinni va Hindiston mintaqasida 4 885-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 815 obunachiga ega bo‘ldi.

24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 106 ga, so‘nggi 24 soatda esa 23 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.89% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.26% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 3 319 marta ko‘riladi; birinchi sutkada odatda 854 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 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 25 Iyun, 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.

67 815
Obunachilar
+2324 soatlar
-97 kunlar
+10630 kunlar
Postlar arxiv
مجموعة بايثون بالعربي على من يحب الانضمام لمجموعة النقاش والمساعدة للإفادة والاستفادة https://t.me/PythonArab

An important collection of the 15 best machine learning cheat sheets. مجموعة مهمة الافضل ١٥ ورقة غش في مجال التعلم الآلي. 1- Supervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf 2- Unsupervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf 3- Deep Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf 4- Machine Learning Tips and Tricks https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf 5- Probabilities and Statistics https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf 6- Comprehensive Stanford Master Cheat Sheet https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf 7- Linear Algebra and Calculus https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf 8- Data Science Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf 9- Keras Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf 10- Deep Learning with Keras Cheat Sheet https://github.com/rstudio/cheatsheets/raw/master/keras.pdf 11- Visual Guide to Neural Network Infrastructures http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png 12- Skicit-Learn Python Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf 13- Scikit-learn Cheat Sheet: Choosing the Right Estimator https://scikit-learn.org/stable/tutorial/machine_learning_map/ 14- Tensorflow Cheat Sheet https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf 15- Machine Learning Test Cheat Sheet https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/ ✳️ ساهم بنمو مجتمعنا من خلال اضافة الاصدقاء او مشاركة المنشور.

An important resource group in the expansion of deep learning مجموعة مصادر مهمة للتوسع في مجال التعلم العميق Link: https://gi
An important resource group in the expansion of deep learning مجموعة مصادر مهمة للتوسع في مجال التعلم العميق Link: https://github.com/datascienceid/deep-learning-resources ✳️ ساهم بنمو مجتمعنا من خلال اضافة الاصدقاء او مشاركة المنشور.

#منقول للمهتمين بحوسبة اللغة العربية ‏مكتبة مصادر ‎#لغوية عربية (Datasets) مفيدة في معالجة ‎#اللغة_العربية تحتوي على قرابة 20
#منقول للمهتمين بحوسبة اللغة العربية ‏مكتبة مصادر ‎#لغوية عربية (Datasets) مفيدة في معالجة ‎#اللغة_العربية تحتوي على قرابة 200 مصدر لغوي عربي مع روابطها ومعلومات وصفية تفصيلية (metadata). Link: https://arbml.github.io/masader/ ✳️ ساهم بنمو مجتمعنا من خلال اضافة الاصدقاء او مشاركة المنشور.

A collection of the best machine learning courses available on YouTube مجموعة لافضل كورسات تعلم الآلة متاحة على اليوتيوب Link
A collection of the best machine learning courses available on YouTube مجموعة لافضل كورسات تعلم الآلة متاحة على اليوتيوب Link: https://github.com/dair-ai/ML-YouTube-Courses ✳️ ساهم بنمو مجتمعنا من خلال اضافة الاصدقاء او مشاركة المنشور.

A collection of the best machine learning courses available on YouTube مجموعة لافضل كورسات تعلم الآلة متاحة على اليوتيوب Link: https://github.com/dair-ai/ML-YouTube-Courses

The IT field is shaping our future, and the amount of data generated every day is enormous. The information can be used for b
The IT field is shaping our future, and the amount of data generated every day is enormous. The information can be used for business growth and development if we analyze it and obtain decision-making insights. That is why Data Analysts will never be unemployed. The profession is in demand, and if you’re desperate for a career boost — you should try our Coding Invaders course and become a Data Analyst. We'll teach you from scratch: ✔ SQL, Python, Google Sheets ✔ Business intelligence programs ✔ Basics of mathematical statistics Follow the link https://codinginv.prfl.me/codeprogrammer/f9882481a998 , use promo code diwalidata8 and get 50% discount

🌐 Join the researchers and programmers channel (Courses, Books, scientific articles and Codes). t.me/DataScience_Books

مجتمع عربي مختص بالنقاش والمساعدة حول لغة #بايثون #Python و #Django وجوانب #الذكاء_الاصطناعي. يرجى اضافة الاصدقاء لاكتساب المعرفة والفائدة للجميع. https://t.me/PythonArab

كورس بكوبون مجاني/ باقي أقل من 24 ساعة Python For Beginners [in Arabic] https://www.udemy.com/course/python-for-beginners-in-arabic-/?couponCode=48CD820325DEF77C1143

مجموعة بايثون عربي t.me/PythonArab

Tilte: Support Vector Machine (SVM) مقال علمي جميل يتحدث عن خوارزمية SVM مع الشرح المبسط والمفصل لهذه الخورازمية الهامة. المص
+8
Tilte: Support Vector Machine (SVM) مقال علمي جميل يتحدث عن خوارزمية SVM مع الشرح المبسط والمفصل لهذه الخورازمية الهامة. المصدر: know_datascience ✳️ ساهم بنمو مجتمعنا من خلال اضافة الاصدقاء او مشاركة المنشور.

المصدر الأول لأخبار القرصنة ومعلومات عن أخطر مجموعات الهاكرز وأحدث عمليات الإختراق والثغرات الأمنية الحديثة وبرامج الفدية ، كورسات ودورات كاملة وادوات قوية وشروحات لتعليم الإختراق الأخلاقي. https://t.me/TheMalware_Team

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