Machine Learning with Python
رفتن به کانال در Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
نمایش بیشتر
📈 تحلیل کانال تلگرام Machine Learning with Python
کانال Machine Learning with Python (@codeprogrammer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 68 475 مشترک است و جایگاه 2 406 را در دسته آموزش و رتبه 4 586 را در منطقه الهند دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 68 475 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 03 نوامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -74 و در ۲۴ ساعت گذشته برابر 12 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 4.07% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.55% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 2 789 بازدید دریافت می‌کند. در اولین روز معمولاً 1 062 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 8 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند insidead, learning, degree, evaluation, algorithm تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 04 نوامبر, 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.
68 475
مشترکین
+1224 ساعت
-827 روز
-7430 روز
آرشیو پست ها
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Pandas 🐼 to Polars Guide
🔑 Tags: #PYTHON #AI #ML #pandas #Polars
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🏳️🌈 Python became GitHub's first language!
👨🏻💻 In a recent GitHub report, with the expansion of artificial intelligence, Python could finally overtake JavaScript and become the most popular language on GitHub in 2024. This happened after 10 years of JavaScript dominance and it is not very strange.
✔️ Because with the growth of artificial intelligence, developers are turning to Python more than ever, and Python's applications in data science and analytics are increasing every day. You can read the full GitHub report here:👇
┌ 🐱 Top programming along GitHub
├ 💰 Report
⏪ I also introduced the most important Python libraries for working with data and AI here: 👇
🖥 Data Manipulation & Analysis
▶️ pandas
▶️ Apache Spark
▶️ Polars
▶️ DuckDB
📊 Data Visualization
➡️ matplotlib
➡️ plotly
➡️ seaborn
🖥 Machine & Deep Learning
➡️ TensorFlow
➡️ PyTorch
➡️ Keras
➡️ scikit-learn
➡️ XGBoost
➡️ LightGBM
➡️ Prophet
🌫 NLP & Large Language Models
➡️ Hugging Face Transformers
➡️ LangChain
➡️ LlamaIndex
🔑 Tags: #PYTHON #AI #ML #NLP
https://t.me/CodeProgrammer ✅
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Confusion matrix (TP, FP, TN, FN), clearly explained
🔑 Tags: #PYTHON #AI #ML
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Convert PDF to docx using Python
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses
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A Popular Interview Question: Discriminative vs. Generative Models
More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses
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How LLMs work, clearly explained ⭐
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses
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