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Machine Learning with Python

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 67 812 مشترک است و جایگاه 2 404 را در دسته آموزش و رتبه 5 049 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 67 812 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 05 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 77 و در ۲۴ ساعت گذشته برابر 9 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 2.60% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.50% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 767 بازدید دریافت می‌کند. در اولین روز معمولاً 1 695 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 6 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 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.

67 812
مشترکین
+924 ساعت
+587 روز
+7730 روز
آرشیو پست ها
nature papers: 1400$ Q1 and  Q2 papers    900$ Q3 and Q4 papers   500$ Doctoral thesis (complete)    700$ M.S thesis         300$ paper simulation   200$ Contact me https://t.me/m/-nTmpj5vYzNk

200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, let’s do this one even quicker! Join my free group Before closing 👇 https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0https://t.me/Codeprogrammer

Learn how LLMs work in less than 10 minutes And honestly? This is probably the best visualization of #LLMs ever made. https://t.me/Python53

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Awesome open-source project to learn more about Generative Adversarial Networks. We found this interactive website that shows
Awesome open-source project to learn more about Generative Adversarial Networks. We found this interactive website that shows you visually how #GANs work. GAN Lab Website: https://lnkd.in/eYV8QvrJ https://t.me/CodeProgrammer 🩷

For those interested in joining our Premium channel, which contains over 5,000 books and 200 courses in machine learning, programming languages, data analysis, LLM, and other related fields with daily updates> We offer a 15-minute free trial to explore the channel's content. Afterward, you can subscribe to the channel for $50 – a permanent subscription. Contact me: t.me/HusseinSheikho

All assignments for the #Stanford The Modern Software Developer course are now available online. This is the first full-fledg
All assignments for the #Stanford The Modern Software Developer course are now available online. This is the first full-fledged university course that covers how code-generative #LLMs are changing every stage of the development lifecycle. The assignments are designed to take you from a beginner to a confident expert in using AI to boost productivity in development. Enjoy your studies! ✌️ (https://github.com/mihail911/modern-software-dev-assignments

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How to test code without a real database During unit testing, connecting to a real DB is unnecessary: • tests run slowly • be
How to test code without a real database
During unit testing, connecting to a real DB is unnecessary: • tests run slowly • become unstable • require a working server
It is much better to mock the call to pandas.read_sql and return dummy data Example function:
def query_user_data(user_id):
    query = f"SELECT id, name FROM users WHERE id = {user_id}"
    return pd.read_sql(query, "postgresql://localhost/mydb")
Test with mock:
from unittest.mock import patch
import pandas as pd

@patch("pandas.read_sql")
def test_database_query_mocked(mock_read_sql):
    mock_read_sql.return_value = pd.DataFrame(
        {"id": [123], "name": ["Alice"]}
    )

    result = query_user_data(user_id=123)
    assert result["name"].iloc[0] == "Alice"
This way you test only the business logic — quickly, reliably, and without unnecessary dependencies https://t.me/CodeProgrammer

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200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
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