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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
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Machine Learning with Python
تُعد قناة Machine Learning with Python (@codeprogrammer) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 67 813 مشتركاً، محتلاً المرتبة 2 427 في فئة التعليم والمرتبة 5 028 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 67 813 مشتركاً.
بحسب آخر البيانات بتاريخ 13 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 60، وفي آخر 24 ساعة بمقدار -3، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 4.31%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.69% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 926 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 148 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 6.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل insidead, learning, degree, evaluation, algorithm.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 14 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
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Some Helpful Data Science Projects for Beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
Intermediate Level Data science Projects
Black Friday Data : https://www.kaggle.com/sdolezel/black-friday
Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset
Million Song Data : https://www.kaggle.com/c/msdchallenge
Census Income Data : https://www.kaggle.com/c/census-income/data
Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset
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Repost from Machine Learning
Are you fluent in Python and want to evaluate your skills? 🤔
Do you want to learn Python? 🤗
Are you interested in learning through questions and answers? 😵
Do you want to receive the explanation of the question?💡
🟢 https://t.me/DataScienceQ 👍
✅ Learn PyTorch in 4 steps
👨🏻💻 With support for more than 200 different mathematical operations, PyTorch is one of the most powerful open source and computational libraries based on Python for machine learning. You don't need to look for different sources to learn this popular library, but the website of this library covers more than what you need.💯
2️⃣ Here, I will teach you how to learn PyTorch from scratch in 4 steps. 👌🏼
1️⃣ Text tutorial: If you don't know anything about Python, you should start learning from here.
⬅️ Topics: tensors, datasets and DataLoader, model building, optimization loop, saving, loading and using the model.
📄 PyTorch Basics
┘📎 Link: Learn the Basics
2️⃣ Video training: This section is very useful for those who prefer video content.
⬅️ Topics: introduction, tensor construction and model construction with pytorch.
📄 Introduction to PyTorch
┘📎 Link: Introduction to PyTorch
3️⃣ Examining examples: By viewing different examples, you will review what you have learned so far.
📄 Learning Python by example
┘📎 Link: Learning PyTorch with Examples
4️⃣ Coding: This step is vital! Your theoretical knowledge is worthless without coding! The Keras website is full of sample code that is great for getting started.
📄 Start coding
┘📎 Link: keras.io
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Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
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7️⃣ Deep Learning
8️⃣ programming Languages
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Repost from Python Courses & Resources
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🔥 Large selection of interview questions on DS, AI, ML, DL, NLP, computer vision . Part 2
✅ Machine learning interview questions and answers for data scientists
✅ Deep Learning Interview Questions and Answers for Data Scientists
✅ Statistics questions
✅ Questions on probability theory
✅ Repository for a line of online courses on statistics
✅ Questions and answers for data scientists in Python
✅ SQL and DB Interview Questions and Answers for Data Scientists
Questions Based on Resumes
✅ Large Language Model (LLM) Interview Questions and Answers
✅ Questions and answers to interviews on computer vision part 1
✅ Computer vision interview questions and answers part 2
✅ Questions and answers to computer vision interviews part 3
