اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Data Science & Machine Learning
رفتن به کانال در 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
نمایش بیشتر📈 تحلیل کانال تلگرام Data Science & Machine Learning
کانال Data Science & Machine Learning (@datasciencefun) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 75 820 مشترک است و جایگاه 2 110 را در دسته آموزش و رتبه 4 270 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 75 820 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 19 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 855 و در ۲۴ ساعت گذشته برابر 10 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.21% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.26% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 431 بازدید دریافت میکند. در اولین روز معمولاً 953 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 3 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, accuracy, distribution, panda, dataset تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 20 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
75 820
مشترکین
+1024 ساعت
+1447 روز
+85530 روز
آرشیو پست ها
Additional Resources To Assist Research
https://www.reddit.com/r/MachineLearning/
• https://www.reddit.com/r/deeplearning/
• https://paperswithcode.com/
• https://www.datasimplifier.com/
• https://papers.nips.cc/
• https://icml.cc/
• https://iclr.cc/
• https://www.researchgate.net/
ENJOY LEARNING 👍👍
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Register now and secure your spot! 📊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
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https://t.me/machinelearning_deeplearning/110
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Special Python Cheatsheets Giveaway
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ENJOY LEARNING 👍👍
Python Real-world Projects
👇👇
https://t.me/pythonspecialist/105
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
Repost from Startup & Business Ideas
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
