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Data Science & Machine Learning

Data Science & Machine Learning

الذهاب إلى القناة على Telegram

Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Data Science & Machine Learning

تُعد قناة Data Science & Machine Learning (@datasciencefun) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 75 820 مشتركاً، محتلاً المرتبة 2 110 في فئة التعليم والمرتبة 4 270 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 75 820 مشتركاً.

بحسب آخر البيانات بتاريخ 19 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 855، وفي آخر 24 ساعة بمقدار 10، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.21‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.26‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 2 431 مشاهدة. وخلال اليوم الأول يجمع عادةً 953 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, accuracy, distribution, panda, dataset.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 20 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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+1024 ساعات
+1447 أيام
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To start with Machine Learning: 1. Learn Python 2. Practice using Google Colab Take these free courses: https://t.me/datasciencefun/290 If you need a bit more time before diving deeper, finish the Kaggle tutorials. At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle. If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed. From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit. The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them: https://t.me/datasciencefree/259 Many different books will help you. The attached image will give you an idea of my favorite ones. Finally, keep these three ideas in mind: 1. Start by working on solved problems so you can find help whenever you get stuck. 2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice. 3. Find a community on LinkedIn or 𝕏 and share your work. Ask questions, and help others. During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right. Here is the good news: Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in space. Focus on finding your path, and Write. More. Code. That's how you win.✌️✌️

Machine Learning for Decision Makers 👇👇 https://t.me/machinelearning_deeplearning/110

5 High-growth career paths in Tech: Tech careers in 2024 Discover the trends, skills, and opportunities that will define tech careers in 2024. 📆 Date: December 28th, 2023 🕒 Time:  8PM-10PM Free Registration Link: 👇👇 https://bit.ly/47clbV6 Don't miss out on this opportunity to elevate your Data Science career!  ENJOY LEARNING 👍👍

Python Real-world Projects 👇👇 https://t.me/pythonspecialist/105

Machine Learning Interview Questions

Data Science Cheatsheet.pdf6.15 KB

Data Science and Machine Learning.pdf20.05 MB

What are predictive algorithms in the context of the stock market? https://t.me/stockmarketingfun/277

Machine_Learning_Engineering_with_Python,_2nd_Edition_Andrew_P_McMahon.epub18.61 MB

STRONG PERSONALITIES HAVE THEIR PRINCIPLES I am telling you a must have trait if you want to build your personality. You must live with your STRONG PRINCIPLES! If you decided to not to smoke or drink, NEVER DO IT whatever the condition is. THIS IS YOUR PRINCIPLE. If you decided not to eat non-veg, then never do it. YOU CAN HAVE YOUR OWN STRONG PRINCIPLES IN LIFE! The thing that matter is to follow them no matter what the condition is!!!

Data Science & Machine Learning Project Discussions 👇👇 https://t.me/Kaggle_Group