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Data Science & Machine Learning

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

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Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expertشبکه:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expertالهند4 204آموزش2 103

📈 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 75 933 مشترک است و جایگاه 2 103 را در دسته آموزش و رتبه 4 204 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 75 933 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 23 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 731 و در ۲۴ ساعت گذشته برابر 33 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 2.95% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.86% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 2 239 بازدید دریافت می‌کند. در اولین روز معمولاً 650 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 24 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.

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Data Science & Machine Learning
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Udacity(udacity.com) courses collections Udacity's Android Basics Nanodegree Download Link- https://mega.nz/folder/nDgXkaob#5LPk0Hpz4HgZ7njcvyNmqw @datasciencefun Udacity's Machine Learning Engineer Nanodegree Download Link- https://mega.nz/folder/qX5BWKDD#s6JadsuGzsyELin6zYfU8Q @datasciencefun Udacity's Blockchain Nanodegree Download Link- https://mega.nz/folder/HD43EKTL#jcAo2OvAjEQmi0SqHELuyA Udacity's Data Analyst Nanodegree Download Link- https://mega.nz/folder/GbgnkCaR#gQodlI6pEkoKGIaqDhuCUg

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Data Science & Machine Learning
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If the resources shared in the channel are helpful to you guys, then share this channel link with your friends and WhatsApp groups 👇👇 http://t.me/datasciencefun We will try to come up with more amazing content related to data science and machine Learning

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🔶Python for Data Science and Machine Learning Bootcamp 🔶 Udemy link: https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ 🟥 3.2 GB Download link: https://drive.google.com/file/d/1vtJoDrZq4rd9ka7DZF20vqg7iB7u8lW4/view

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🔰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

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Which of the following is an important library or framework for data visualization using PYTHON? [Not Machine learning]
Anonymous voting

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Data Science & Machine Learning
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Data science Tools
Data science Tools

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Building the Machine Learning Model
Building the Machine Learning Model

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Which step is done just after collecting data?
Anonymous voting

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Do you want more books recommendations?
Anonymous voting

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Hello guys, if you are a beginner in data science and want to learn it from scratch. Then, there is a good news for you. Currently Amazon is providing 77% off on this data science book Highly recommend if you are beginner in data science Purchase it before the price increases https://bit.ly/30j72GI Flipkart is selling the same book for rs. 2500 https://bit.ly/39K2pIJ Enjoy 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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Pingzee Technologies Pvt. Ltd. is hiring Data Science interns on Dockship. Pingzee provides a cloud-based infrastructure to simplify the real-time data engineering to help in building fast, secure and highly scalable real-time solutions. Participate in Sales Forecasting and EDA Challenge and get a chance to be interviewed for this position. Only limited slots are available. Apply Now: https://bit.ly/309rREi