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

Сеть:Machine Learning with Python Индия5 047 Образование2 412...

📈 Аналитический обзор Telegram-канала Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 67 810 подписчиков, занимая 2 412 место в категории Образование и 5 047 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 810 подписчиков.

Согласно последним данным от 08 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 50, а за последние 24 часа — -5, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.79%. В первые 24 часа после публикации контент обычно набирает 2.60% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 895 просмотров. В течение первых суток публикация набирает 1 764 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 7.
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 09 июня, 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.

67 810

Подписчики

-524 часа

+227 дней

+5030 день

1 895

Просмотры поста

~ 1 76424 часа

~ 2 39848 часов

2.79%

Коэффициент вовлеченности

~ 4

Постов в день

Ads index

beta

Архив постов

67 813

Repost from Tech Jobs Hub

1. What is the output of the following code?

x = [1, 2, 3]
y = x
y[0] = 4
print(x)

2. Which of the following is NOT a valid way to create a dictionary in Python? A) dict(a=1, b=2) B) {a: 1, b: 2} C) dict([('a', 1), ('b', 2)]) D) {1: 'a', 2: 'b'} 3. Write a function that takes a list of integers and returns a new list containing only even numbers. 4. What will be printed by this code?

def func(a, b=[]):
    b.append(a)
    return b
print(func(1))
print(func(2))

5. What is the purpose of the __slots__ attribute in a Python class? 6. Which built-in function can be used to remove duplicates from a list while preserving order? 7. Explain the difference between map(), filter(), and reduce() with examples. 8. What does the @staticmethod decorator do in Python? 9. Write a generator function that yields Fibonacci numbers up to a given limit. 10. What is the output of this code?

import copy
a = [1, 2, [3, 4]]
b = copy.deepcopy(a)
b[2][0] = 5
print(a[2][0])

11. Which of the following is true about Python’s GIL (Global Interpreter Lock)? A) It allows multiple threads to execute Python bytecode simultaneously. B) It prevents race conditions in multithreaded programs. C) It limits CPU-bound multi-threaded performance. D) It is disabled in PyPy. 12. How would you implement a context manager using a class? 13. What is the result of bool([]) and why? 14. Write a recursive function to calculate the factorial of a number. 15. What is the difference between is and == in Python? 16. Explain how Python handles memory management for objects. 17. What is the output of this code?

class A:
    def __init__(self):
        self.x = 1

class B(A):
    def __init__(self):
        super().__init__()
        self.y = 2

obj = B()
print(hasattr(obj, 'x') and hasattr(obj, 'y'))

18. Describe the use of *args and **kwargs in function definitions. 19. Write a program that reads a text file and counts the frequency of each word. 20. What is monkey patching in Python and when might it be useful? #Python #AdvancedPython #ProgrammingTest #CodingChallenge #PythonInterview #PythonDeveloper #CodeQuiz #HighLevelPython #LearnPython #PythonSkills #PythonExpert By: @DataScienceQ 🚀

67 813

“I asked Padma AI for advice and… what happened next shocked even me.” No more wasting hours on decisions—discover how Padma AI gives answers billionaires would pay for. Want to know the secret? Click right here, but hurry—most people still have no idea! #ad InsideAds

67 813

Repost from Machine Learning

📌 How To Learn AI (Roadmap) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-05 | ⏱️ Read time: 11 min read A full breakdown of how you can learn AI this year effectively

67 813

Liverpool to replace Salah for £75M? Transfer chaos is about to explode: Liverpool are now favourites to sign Antoine Semenyo as Salah’s direct successor. Will this blockbuster deal actually happen? Get the fastest updates, inside info and exclusive transfer scoops every day in Transfer News. Don’t miss the moves before they break the headlines — join now! #ad InsideAds

67 813

Ever wondered what happens when AI meets productivity? Padma AI is your personal assistant that makes every task smarter and faster. Discover how you can boost your daily workflow with one click—don’t miss out on the future: see Padma AI in action right now. Unlock next-level efficiency—join the revolution! #ad InsideAds

67 813

Perform the test and submit the solution via a photocopy of the answer sheet

67 813

Repost from Tech Jobs Hub

1. What is the output of the following code?

x = [1, 2, 3]
y = x
y.append(4)
print(x)

2. Which of the following data types is immutable in Python? A) List B) Dictionary C) Set D) Tuple 3. Write a Python program to reverse a string without using built-in functions. 4. What will be printed by this code?

def func(a, b=[]):
    b.append(a)
    return b

print(func(1))
print(func(2))

5. Explain the difference between == and is operators in Python. 6. How do you handle exceptions in Python? Provide an example. 7. What is the output of:

print(2 ** 3 ** 2)

8. Which keyword is used to define a function in Python? A) def B) function C) func D) define 9. Write a program to find the factorial of a number using recursion. 10. What does the *args parameter do in a function? 11. What will be the output of:

list1 = [1, 2, 3]
list2 = list1.copy()
list2[0] = 10
print(list1)

12. Explain the concept of list comprehension with an example. 13. What is the purpose of the __init__ method in a Python class? 14. Write a program to check if a given string is a palindrome. 15. What is the output of:

a = [1, 2, 3]
b = a[:]
b[0] = 10
print(a)

16. Describe how Python manages memory (garbage collection). 17. What will be printed by:

x = "hello"
y = "world"
print(x + y)

18. Write a Python program to generate the first n Fibonacci numbers. 19. What is the difference between range() and xrange() in Python 2? 20. What is the use of the lambda function in Python? Give an example. #PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming By: @DataScienceQ 🚀

67 813

Ever wondered what your workflow could look like if you had AI working for you 24/7? Meet Padma AI – your smart Telegram assistant that saves hours, automates routine, and gives instant answers right in chat. Try it now and discover what real AI power feels like — test Padma AI in action. #ad InsideAds

67 813

🚀 Thordata Proxy: Bypass Anti-Scraping for Data Projects Facing these issues in data collection? 🔴 IP blocks interrupting workflows 🟡 CAPTCHAs breaking automation 🟢 Geo-restrictions limiting data access Thordata Proxy provides high-performance proxy solutions for ML/DS professionals: 🔥 Key Features Seamless Integration: Native support for Python (Requests/Scrapy/Selenium), R, Spark Global Coverage: 200+ countries with city-level targeting Anti-Blocking: Residential/ISP proxies mimic real users Low Latency: <0.8s average response time, 99.9% uptime Compliant: GDPR/CCPA compliant for public data only 📊 Perfect For: Training data collection for ML models/Competitive pricing monitoring/Cross-region social media analysis/Ad verification testing 🌟 Community Offer 🔗 Start now: https://www.thordata.com/?ls=DhthVzyG&lk=Data 20% off with code: IsyGLO5o Official Channel : https://t.me/thordataproxy

67 813

important resource

67 813

Python | Machine Learning | Coding | R: Participating in watching the ad (Telegram channel) encourages us to offer paid resources for free

67 813

I made my first $350 in a day — just by following these gold signals. Sounds unreal? I thought so too, until I tried. Discover the real strategies experts never reveal — but they’re all right here. Don’t miss today’s signals — check now before it’s gone! #ad InsideAds

67 813

Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards. Start now! #ad InsideAds

67 813

Participating in watching the ad (Telegram channel) encourages us to offer paid resources for free

67 813

Ever wondered how much smarter your workflow could be with AI? Meet Padma AI — your personal Telegram bot that makes work faster, easier, smarter. Try out the AI assistant everyone’s talking about now — and see how much more you can do in a day. Don’t miss your edge — join Padma AI and upgrade your routine! #ad InsideAds

67 813

📺 12 comprehensive playlists to master ⬅️ machine learning, deep learning, and GenAI! 👨🏻‍💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics. 😉 Machine Learning Basics (39 videos) 😉 Python for ML (9 videos) 😉 Optimization for ML (5 videos) 😉 Machine Learning with Practical Exercises (37 videos) 😉 Building Decision Trees from Scratch (13 videos) 😉 Building Neural Networks from Scratch (35 videos) 😉 Graph Neural Networks (6 videos) 😉 Computer Vision from Scratch (19 videos) 😉 Building LLM from Scratch (43 videos) 😉 Reasoning in LLMs from Scratch (22 videos) 😉 Building DeepSeek from Scratch (29 videos) 😉 Machine Learning in Production Environment (6 videos) 🌐 #Data_Science #DataScience ➖➖➖➖➖➖➖➖➖➖➖➖➖ https://t.me/CodeProgrammer ❤️

67 813

“Last season, I nearly gave up. I was at my lowest… but everything changed because of one moment.” Want to know what happened to John Stones and the truth about Man City’s locker room? Read here before it gets deleted. #ad InsideAds

67 813

👨🏻‍💻 This Python library helps you extract usable data for language models from complex files like tables, images, charts, or multi-page documents. 📝 The idea of Agentic Document Extraction is that unlike common methods like OCR that only read text, it can also understand the structure and relationships between different parts of the document. For example, it understands which title belongs to which table or image. ✅ Works with PDFs, images, and website links. ☑️ Can chunk and process very large documents (up to 1000 pages) by itself. ✔️ Outputs both JSON and Markdown formats. ☑️ Even specifies the exact location of each section on the page. ✔️ Supports parallel and batch processing.

pip install agentic-doc

┌ 🥵 Agentic Document Extraction ├ 🌎 Website └ 🐱 GitHub Repos 🌐 #DataScience #DataScience ➖➖➖➖➖➖➖➖➖➖➖➖➖ https://t.me/CodeProgrammer

67 813

Ever felt lost between laughter and deep late-night thoughts? 𝑫𝒂𝒓𝒌 𝒍𝒊𝒈𝒉𝒕 🩶 is where you’ll find funny memes, relatable quotes, music to match your mood, and those random thoughts you never share out loud. It’s the corner of Telegram where real feels meet good vibes. Curious yet? Join us here to take a break for yourself. #ad InsideAds

67 813

I never thought 2 simple signals a day could change how I trade. Yesterday, I followed one tip—and watched my gold trade explode. Want to know what happened next? The real results are hidden right here. Don’t let them pass you by. #ad InsideAds .