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Artificial Intelligence

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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📈 Analytical overview of Telegram channel Artificial Intelligence

Channel Artificial Intelligence (@machinelearning_deeplearning) in the English language segment is an active participant. Currently, the community unites 56 625 subscribers, ranking 3 064 in the Education category and 5 904 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 625 subscribers.

According to the latest data from 01 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 423 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.48%. Within the first 24 hours after publication, content typically collects 1.54% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 534 views. Within the first day, a publication typically gains 874 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 13.
  • Thematic interests: Content is focused on key topics such as learning, classification, layer, pattern, chatbot.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data”

Thanks to the high frequency of updates (latest data received on 02 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

56 625
Subscribers
+1524 hours
+737 days
+42330 days
Posts Archive
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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Python Advanced Programming.pdf1.15 MB

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

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Machine Learning in the AWS Cloud (2020).pdf24.73 MB

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Effective Machine Learning Teams.pdf10.36 MB