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 77 616 مشتركاً، محتلاً المرتبة 2 020 في فئة التعليم والمرتبة 3 811 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 77 616 مشتركاً.
بحسب آخر البيانات بتاريخ 14 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -147، وفي آخر 24 ساعة بمقدار -20، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.41%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.97% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 1 872 مشاهدة. وخلال اليوم الأول يجمع عادةً 755 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
- 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 15 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
77 616
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-947 أيام
-14730 أيام
أرشيف المشاركات
🔰Python Cheat Sheet for all Programmers🔰
Top 15 Cheat Sheets for Machine Learning, Data Science & Big Data
🖇Link : https://anonfiles.com/zcLcO0G5oc/Python_Top_15_Cheat_Sheets_for_Machine_Learning_Data_Science_Big_Data_rar
Share and support us
Which of the following is an important library or framework for data visualization using PYTHON? [Not Machine learning]
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👩🏻💻 Why should one study Linear Algebra for ML?
👉🏼 Clearly, to develop a better intuition for machine learning and deep learning algorithms and not treat them as black boxes. This would allow you to choose proper hyper-parameters and develop a better model. You would also be able to code algorithms from scratch and make your own variations to them as well.
👉🏼 Learn Linear Algebra for Machine Learning with:
Khan Academy: https://www.khanacademy.org/math/linear-algebra
Udacity: https://www.udacity.com/course/linear-algebra-refresher-course--ud953
Coursera: https://www.coursera.org/learn/linear-algebra-machine-learning
Here are some amazing freely available ebooks on the same topic:
Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf
An Introduction to Statistical Learning: https://faculty.marshall.usc.edu/gareth-james/ISL/
Happy machine learning! 🎉
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©How fresher can get a job as a data scientist?©
India as a job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from?
The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice.
Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way.
All the major data science jobs for freshers will only be available through off-campus interviews.
Some companies that hires data scientists are:
Siemens
Accenture
IBM
Cerner
Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.
TOP PYTHON PROJECTS WITH SOURCE CODE
Coz it's your time to steal the spotlight 💯🔥🔝🆕
https://data-flair.training/blogs/python-project-ideas/
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