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Artificial Intelligence

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🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

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Сеть: Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertИндия5 904Образование3 064...

📈 Аналитический обзор Telegram-канала Artificial Intelligence

Канал Artificial Intelligence (@machinelearning_deeplearning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 56 625 подписчиков, занимая 3 064 место в категории Образование и 5 904 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 56 625 подписчиков.

Согласно последним данным от 01 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 423, а за последние 24 часа — 15, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 4.48%. В первые 24 часа после публикации контент обычно набирает 1.54% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 2 534 просмотров. В течение первых суток публикация набирает 874 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 13.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, classification, layer, pattern, chatbot.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data”

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.

56 625

Подписчики

+1524 часа

+737 дней

+42330 дней

2 534

Просмотры поста

~ 87424 часа

~ 1 16148 часов

4.48%

Коэффициент вовлеченности

Нет данных

Постов в день

Ads index

Архив постов

56 625

Here are the top 5 machine learning projects that are suitable for freshers to work on: 1. Predicting House Prices: Build a machine learning model that predicts house prices based on features such as location, size, number of bedrooms, etc. This project will help you understand regression techniques and feature engineering. 2. Image Classification: Create a model that can classify images into different categories such as cats vs. dogs, fruits, or handwritten digits. This project will introduce you to convolutional neural networks (CNNs) and image processing. 3. Sentiment Analysis: Develop a sentiment analysis model that can classify text data as positive, negative, or neutral. This project will help you learn natural language processing techniques and text classification algorithms. 4. Credit Card Fraud Detection: Build a model that can detect fraudulent credit card transactions based on transaction data. This project will help you understand anomaly detection techniques and imbalanced classification problems. 5. Recommendation System: Create a recommendation system that suggests products or movies to users based on their preferences and behavior. This project will introduce you to collaborative filtering and recommendation algorithms. These projects will not only enhance your machine learning skills but also provide you with practical experience in working on real-world data science problems.

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Book: 📚Exercises in Machine Learning Authors: Michael U. Gutmann year: 2024 pages: 211

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