Machine Learning & Artificial Intelligence | Data Science Free Courses
Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun
نمایش بیشتر📈 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 66 723 مشترک است و جایگاه 2 466 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 66 723 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 23 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 495 و در ۲۴ ساعت گذشته برابر 27 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 0.86% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.79% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 571 بازدید دریافت میکند. در اولین روز معمولاً 524 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 4 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 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.
در حال بارگیری داده...
| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 24 ژوئن | +50 | |||
| 23 ژوئن | +37 | |||
| 22 ژوئن | +11 | |||
| 21 ژوئن | +16 | |||
| 20 ژوئن | +17 | |||
| 19 ژوئن | +10 | |||
| 18 ژوئن | +22 | |||
| 17 ژوئن | +9 | |||
| 16 ژوئن | +26 | |||
| 15 ژوئن | +34 | |||
| 14 ژوئن | +55 | |||
| 13 ژوئن | +52 | |||
| 12 ژوئن | +34 | |||
| 11 ژوئن | +20 | |||
| 10 ژوئن | +28 | |||
| 09 ژوئن | +25 | |||
| 08 ژوئن | +23 | |||
| 07 ژوئن | +29 | |||
| 06 ژوئن | +25 | |||
| 05 ژوئن | +26 | |||
| 04 ژوئن | +36 | |||
| 03 ژوئن | +37 | |||
| 02 ژوئن | +37 | |||
| 01 ژوئن | +29 |
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| 17 | ✅ Data Science Mistakes Beginners Should Avoid ⚠️📉
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2️⃣ Not Understanding the Problem
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3️⃣ Treating Data Cleaning as Optional
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4️⃣ Using Complex Models Too Early
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• Ignoring simpler, interpretable models
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5️⃣ No Evaluation Strategy
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✅ Use proper metrics (F1, AUC, MAE) based on problem type
6️⃣ Not Visualizing Data
• Missed outliers and patterns
✅ Use Seaborn, Matplotlib, Plotly for EDA
7️⃣ Poor Feature Engineering
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8️⃣ Ignoring Domain Knowledge
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9️⃣ No Practice with Real Datasets
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اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
