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Coding Projects

Coding Projects

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Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data

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๐Ÿ“ˆ Analytical overview of Telegram channel Coding Projects

Channel Coding Projects (@programming_experts) in the English language segment is an active participant. Currently, the community unites 66 133 subscribers, ranking 1 978 in the Technologies & Applications category and 5 188 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 66 133 subscribers.

According to the latest data from 15 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 828 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.25%. Within the first 24 hours after publication, content typically collects 1.30% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 147 views. Within the first day, a publication typically gains 861 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as |--, algorithm, array, framework, javascript.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œChannel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 16 June, 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 Technologies & Applications category.

66 133
Subscribers
+2724 hours
+2117 days
+82830 days
Posts Archive
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Here are 20 project ideas to sharpen your coding skills and build your portfolio! ๐Ÿ‘‡ ๐Ÿ’ก 1. RESTful API for a Todo App ๐Ÿ“š 2. Library Management System ๐Ÿฌ 3. E-commerce API with Payment Gateway ๐Ÿ›  4. User Authentication System ๐ŸŽต 5. Music Streaming Service ๐Ÿ’ฌ 6. Chat Application Backend ๐Ÿ“ฆ 7. Inventory Management API ๐Ÿ“„ 8. Blog Platform with Comments ๐Ÿฅ 9. Hospital Management System ๐Ÿ“ˆ 10. Analytics Dashboard ๐Ÿ“ฌ 11. Email Campaign API ๐Ÿš— 12. Ride-Sharing Backend ๐Ÿ“ฆ 13. Warehouse Management System ๐ŸŽ“ 14. Online Learning Platform ๐ŸŒ 15. Social Media Backend ๐Ÿ’ณ 16. Subscription Billing System ๐Ÿ›ก 17. Role-Based Access Control ๐Ÿฝ 18. Restaurant Ordering API ๐Ÿจ 19. Hotel Booking System ๐Ÿ“ 20. Form Builder API Best Programming Resources: https://topmate.io/coding/886839 All the best ๐Ÿ‘๐Ÿ‘

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Railway Application.zip6.22 MB

Java projects ๐Ÿ‘‡

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Top 10 Computer Vision Project Ideas 1. Edge Detection 2. Photo Sketching 3. Detecting Contours 4. Collage Mosaic Generator 5. Barcode and QR Code Scanner 6. Face Detection 7. Blur the Face 8. Image Segmentation 9. Human Counting with OpenCV 10. Colour Detection

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Python Machine Learning ๐Ÿ‘‡ book

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12 Essential Math Theories for AI Understanding AI requires a foundation in core mathematical concepts. Here are twelve key t
12 Essential Math Theories for AI Understanding AI requires a foundation in core mathematical concepts. Here are twelve key theories that deepen your AI knowledge: Curse of Dimensionality: Challenges with high-dimensional data. Law of Large Numbers: Reliability improves with larger datasets. Central Limit Theorem: Sample means approach a normal distribution. Bayes' Theorem: Updates probabilities with new data. Overfitting & Underfitting: Finding balance in model complexity. Gradient Descent: Optimizes model performance. Information Theory: Efficient data compression. Markov Decision Processes: Models for decision-making. Game Theory: Insights on agent interactions. Statistical Learning Theory: Basis for prediction models. Hebbian Theory: Neural networks learning principles. Convolution: Image processing in AI. Familiarity with these theories will greatly enhance understanding of AI development and its underlying principles. Each concept builds a foundation for advanced topics and applications.

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Top 10 Python Project Ideas ๐Ÿ’ก
Top 10 Python Project Ideas ๐Ÿ’ก

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