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📈 تحلیل کانال تلگرام All coding Solution

کانال All coding Solution (@allcodingsolution) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 11 237 مشترک است و جایگاه 17 949 را در دسته آموزش و رتبه 37 527 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 11 237 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 05 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -167 و در ۲۴ ساعت گذشته برابر -5 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 1.45% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 0 بازدید دریافت می‌کند. در اولین روز معمولاً 0 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 0 است.

📝 توضیح و سیاست محتوایی

توضیحی برای کانال ارائه نشده است.

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 07 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.

11 237
مشترکین
-524 ساعت
-347 روز
-16730 روز
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DATA SCIENCE ROADMAP This is the Ultimate RoadMap to become a Data Scientist, one needs to learn the following things. I have added the resource links of all important things in this PDF. DO YOU NEED A COLLEGE DEGREE? With basic understanding of Maths, you can start. Even if you are not doing B Tech, Basic BSC Degree with Maths or some other equivalent will suffice. REQUIREMENTS [RESOURCES CAN BE FOUND AT THE END OF THIS DOCUMENT] • Statistics + Maths o Linear Algebra Notes (Amazing Resource for revising Data Science by Queen Mary University of London) o Learn the basics of Mean, median, mode, dy/dx. This quick video can help you get started. o Buy a copy of Hines Book (Probability and Statistics in Engineering by William Hines) o Focus a bit more on Normal Distribution o Learn basics of Optimization and Gradient Descent. You can watch this series I created long back. o Get this amazing book on Graphs (Play with Graphs Book – Amit Aggarwal) • Programming o If confused choose Python as your first programming language ▪ Python in Hindi – 100 Days of Code by CodeWithHarry ▪ For English Lovers, there is this awesome course on Udemy • Now once you have a basic understanding of Python, start learning Data Science o Learn Basics – Start from this free book or buy it on Amazon o Learn to use this amazing package for building quick Data Reports o Learn NumPy from here o Learn Pandas from here o Matplotlib / Seaborn from here • Database – Learn Basic CRUD Operations and depending upon how you are fetching your data, pick from these technologies. o MySQL o MongoDB o PyMongo o SQLAlchemy • Transition to ML/DL – Once you have some good hold on Python, Pandas and some data science projects, start transitioning to Machine Learning. o Grab a copy of this book: Hands on ML with Scikit-learn and Tensorflow (Author of this book also maintains constantly updating Github Repo) o Watch this project video I created on an End-to-End ML Project • Linux & GIT o Learn Basic Commands of Linux from this video by CodeWithHarry o Learn to push your code to GitHub - Watch this quick video. o Learn how to SSH into a Linux machine & abut SSH Keys • Optional Tools that you can learn depending upon your requirements. o AWS – Create an account and get started for Free. It will take you a long time to master it o Learn about cronjobs from this video o Learn about BeautifulSoup for Web Scraping using Python o Tableau/Hadoop/PowerBI o Excel VBA o Good Code Repos & Papers: PapersWithCode

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