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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📈 Аналитический обзор Telegram-канала Machine Learning with Python
Канал Machine Learning with Python (@codeprogrammer) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 68 475 подписчиков, занимая 2 403 место в категории Образование и 4 579 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 68 475 подписчиков.
Согласно последним данным от 03 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -74, а за последние 24 часа — 12, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.07%. В первые 24 часа после публикации контент обычно набирает 1.55% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 789 просмотров. В течение первых суток публикация набирает 1 062 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 04 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.
68 475
Подписчики
+1224 часа
-827 дней
-7430 дней
Архив постов
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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
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A Popular Interview Question: Discriminative vs. Generative Models
More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative
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How LLMs work, clearly explained ⭐
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