Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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Сеть:Machine Learning with Python Индия5 078 Образование2 407...

📈 Аналитический обзор Telegram-канала Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 67 827 подписчиков, занимая 2 407 место в категории Образование и 5 078 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 67 827 подписчиков.

Согласно последним данным от 04 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 75, а за последние 24 часа — 11, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.53%. В первые 24 часа после публикации контент обычно набирает 1.84% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 717 просмотров. В течение первых суток публикация набирает 1 249 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 6.
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 05 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.

67 827

Подписчики

+1124 часа

+587 дней

+7530 день

1 717

Просмотры поста

~ 1 24924 часа

~ 1 70648 часов

2.53%

Коэффициент вовлеченности

~ 3

Постов в день

Ads index

beta

Архив постов

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Repost from Machine Learning

🚀 Master Binary Classification with Neural Networks! 🧠✨ Ever wondered how to build a neural network from scratch in Python using NumPy? 🐍📊 Binary classification is at the heart of many machine learning applications. 🎯🤖 Our super-detailed guide walks you through the entire process step by step. 📝📚 💡 Dive in and start building your own neural network today! 🏗🔥 https://tinztwinshub.com/data-science/a-beginners-guide-to-developing-an-artificial-neural-network-from-zero/ #MachineLearning #NeuralNetworks #Python #DataScience #AI #Tech

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Do you know that Python can shift sequences without slicing and creating new lists? 🤔 When you need to cyclically shift data, many use slicing:

data = data[-1:] + data[:-1]

But deque.rotate() does this at the level of the data structure and usually works more efficiently for cyclical operations. 🚀

q.rotate(1)

A negative value rotates the queue in the other direction. ⬅️

q.rotate(-2)

This is useful for ring buffers, task schedulers, cyclical queues, and round-robin algorithms. 🔄

workers.rotate(-1)

🔥 deque.rotate() allows you to implement cyclical data structures without manual index logic and without creating new lists. 💡 👉 Python Ready | #tip #Python #Programming #Deque #CodingTips #Tech #DevCommunity

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Do you know that Python can shift sequences without slicing and creating new lists? When you need to cyclically shift data, many use slicing:

data = data[-1:] + data[:-1]

But `deque.rotate()

 does this at the level of the data structure and usually works more efficiently for cyclical operations.

``

python q.rotate(1)

A negative value rotates the queue in the other direction.

python q.rotate(-2)

This is useful for ring buffers, task schedulers, cyclical queues, and round-robin algorithms.

python workers.rotate(-1) ` 🔥 `deque.rotate()` allows you to implement cyclical data structures without manual index logic and without creating new lists. #Python #deque #rotate #Programming #Coding #DevTips

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Repost from Machine Learning

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Repost from Learn Python Coding

Cheat sheet on the basics of Python: 🐍📚 basic syntax and language rules 📝 scalar types — basic data types (int, float, bool, str, NoneType) 🔢 datetime — working with date and time 📅⏰ data structures — Python data structures (list, tuple, dict, set) 🗄 list — mutable lists for storing data collections 📋 tuple — immutable sequences of values 🔒 dict (hash map) — storing data in a key-value format 🗝 set — unique elements without order 🔘 slicing — obtaining parts of sequences through indices and step ✂️ module/library — connecting modules and libraries 🔌 help functions — using help() and dir() to explore the Python API 🛠 #Python #Coding #DataScience #Programming #Tech #DevCommunity

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Repost from Machine Learning with Python

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