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Machine Learning & Artificial Intelligence | Data Science Free Courses

Machine Learning & Artificial Intelligence | Data Science Free Courses

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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

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📈 تحلیل کانال تلگرام Machine Learning & Artificial Intelligence | Data Science Free Courses

کانال Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 66 672 مشترک است و جایگاه 2 475 را در دسته آموزش و رتبه 435 را در منطقه ماليزيا دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 66 672 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 18 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 676 و در ۲۴ ساعت گذشته برابر 20 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 1.12% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.51% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 750 بازدید دریافت می‌کند. در اولین روز معمولاً 1 007 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 5 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند sellerflash, waybienad, pricing, buybox, buyer تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 19 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.

66 672
مشترکین
+2024 ساعت
+1517 روز
+67630 روز
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If Data Science Tools Were Characters… 🧠🔍 📝 Excel — The Office Guy Knows a bit of everything. Not flashy, but still gets the job done (until it crashes at 1M rows). 🤦‍♂️ 🐍 Python — The All-Rounder Writes poetry, builds models, scrapes web, visualizes data… and still has time for coffee. ☕ 📊 Tableau — The Artist Can turn boring data into jaw-dropping dashboards. Looks good, speaks in visuals. 🎨 🧮 R — The Statistician Loves hypothesis tests and plots. Bit quirky, but unmatched in analysis. 🤓 🏗 SQL — The Architect Knows where everything is stored. Can fetch exactly what you need… if you ask just right. 🏛️ 🎯 Scikit-learn — The Model Trainer Logistic, decision trees, clustering—you name it. Works fast, plays well with Python. ⚙️ 🧠 TensorFlow/PyTorch — The Gym Bro Lifts heavy deep learning weights. Complex but powerful. Needs proper tuning and GPUs. 💪 🗃 Pandas — The Organizer Cleans, filters, groups, reshapes—loves playing with tables. But can be moody with large files. 🗂️ 📍 Matplotlib/Seaborn — The Designer Duo One is technical, the other stylish. Together they make your data look beautiful. ✨ 🔁 Jupyter Notebook — The Presenter Explains everything step by step. Talks code, visuals, and markdown—all in one flow. 🧑‍🏫 #DataScience #MachineLearning

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ChatGPT Prompt Cheat Sheet
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