Machine Learning with Python
Открыть в Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Больше
📈 Аналитический обзор Telegram-канала Machine Learning with Python
Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 68 473 подписчиков, занимая 2 398 место в категории Образование и 4 562 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 68 473 подписчиков.
Согласно последним данным от 01 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -24, а за последние 24 часа — -28, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.65%. В первые 24 часа после публикации контент обычно набирает 1.44% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 501 просмотров. В течение первых суток публикация набирает 987 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 8.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как insidead, learning, degree, evaluation, algorithm.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Благодаря высокой частоте обновлений (последние данные получены 02 ноября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
68 473
Подписчики
-2824 часа
-1137 дней
-2430 дней
Архив постов
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
💰 Get FREE Forex & Gold Signals! 💰
🚀 Accurate, real-time signals for Forex and Gold (XAUUSD).
📈 Perfect for beginners and pros — no fees, no hassle!
✅ Start trading smarter today!
👉 Join our FREE Telegram channel now!
#ad
💰 Get FREE Forex & Gold Signals! 💰
🚀 Accurate, real-time signals for Forex and Gold (XAUUSD).
📈 Perfect for beginners and pros — no fees, no hassle!
✅ Start trading smarter today!
👉 Join our FREE Telegram channel now!
#ad
No skills? No problem. Just copy-paste and GET PAID.
➡️ 22,000+ already started… YOU'RE NEXT! Click here @NPFXSignals
#إعلان InsideAds
We offer you daily Udemy courses for free and without any fees.
https://t.me/DataScienceC
Visit the channel, consider it as a support for us and our efforts
I recommend you to join @TradingNewsIO for Global & Economic News 24/7
⚡️Stay up-to-date with real-time updates on global events.
➡️ Click Here and JOIN NOW !
#إعلان InsideAds
Data scientists, this is for you — I dug up LeetCode for DS
DataLemur — a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here 🍯
👉 https://t.me/DataScienceN 👍
python-docx: Create and Modify Word Documents #python
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
pip install python-docxfrom docx import Document
document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")
document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'
+2
Top 150 Python Interview Questions
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
🔸Link to PDF
👉 @DataScience4
No skills? No problem. Just copy-paste and GET PAID.
➡️ 22,000+ already started… YOU'RE NEXT! Click here @NPFXSignals
#إعلان InsideAds
🚀 16th AI by Hand ✍️ Workshops, Scholarships available 👉 https://lu.ma/te2q2zqu
Every Wednesday we’ve been bringing people together to learn AI by hand ✍️.
Next week marks our 16th workshop, and thanks to Google’s generous sponsorship, we’re offering scholarships for educators and students to join us.
Choose your session:
🙌 Deep Learning Beginner Math Workshop
Build the math foundation for deep learning:
1. Dot Product
2. Matrix Multiplication
3. Linear Layer
4. Activation
5. Artificial Neuron
🙌 🙌 Transformer in Excel Workshop (Intermediate)
For AI engineers who know how to use Transformers but want to open the black box. We’ll visualize every step—data flow, math, and dimension alignment—inside Excel.
🙌 🙌 🙌 Latest AI Paper Workshop (Advanced)
Work through a just-published model, architecture, or algorithm with brand-new AI by Hand exercises—crafted for this workshop only.
🙌 🙌 🙌 Deep Reinforcement Learning Workshop (Advanced)
From replay buffers to Monte Carlo, TD learning, Deep Q-Networks, and SARSA—understand value-based deep RL from the ground up.
📅 When: Every Wednesday
🎓 Scholarships: Available for educators & students (sponsored by Google)
Register 🔗 https://lu.ma/te2q2zqu
Grab these free AI courses before they get paywalled:
𝟭. Prompt Engineering Basics:
https://skillbuilder.aws/search?searchText=foundations-of-prompt-engineering&showRedirectNotFoundBanner=true
𝟮. ChatGPT Prompts Mastery:
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
𝟯. Intro to Generative AI:
https://cloudskillsboost.google/course_templates/536
𝟰. AI Introduction by Harvard:
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05
𝟱. Microsoft GenAI Basics:
https://linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity
𝟲. Prompt Engineering Pro:
https://learnprompting.org
𝟳. Google’s Ethical AI:
https://cloudskillsboost.google/course_templates/554
𝟴. Harvard Machine Learning:
https://pll.harvard.edu/course/data-science-machine-learning
𝟵. LangChain App Developer:
https://deeplearning.ai/short-courses/langchain-for-llm-application-development/
𝟭𝟬. Bing Chat Applications:
https://linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat
𝟭𝟭. Generative AI by Microsoft:
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
𝟭𝟮. Amazon’s AI Strategy:
https://skillbuilder.aws/search?searchText=generative-ai-learning-plan-for-decision-makers&showRedirectNotFoundBanner=true
𝟭𝟯. GenAI for Everyone:
https://deeplearning.ai/courses/generative-ai-for-everyone/
𝟭𝟰. AWS GenAI Foundation:
https://coursera.org/learn/generative-ai-with-llms
https://t.me/CodeProgrammer 🔰
Repost from Machine Learning with Python
Special offer available only for the first ten people, access all our paid content for $1.50 per month
Offer available only for the first ten people
https://t.me/+Sg7lfv7C7xtjZGNi
