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Coding Courses

Coding Courses

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🔴Declaimer🔴 We do not hold this content or stored in our drive, we just redirect telegram or website link where this content is already shared

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📈 Analytical overview of Telegram channel Coding Courses

Channel Coding Courses (@coding_learning1) in the English language segment is an active participant. Currently, the community unites 18 288 subscribers, ranking 10 802 in the Education category and 22 160 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 288 subscribers.

According to the latest data from 19 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -160 over the last 30 days and by 16 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 21.08%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as javascript, array, html, learning, recognition.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
🔴Declaimer🔴 We do not hold this content or stored in our drive, we just redirect telegram or website link where this content is already shared

Thanks to the high frequency of updates (latest data received on 20 September, 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.

18 288
Subscribers
+1624 hours
-77 days
-16030 days
Posts Archive
9. Scikit-learn Creating Machine Learning Models - Part 06.zip514.31 MB

9. Scikit-learn Creating Machine Learning Models - Part 05.zip470.18 MB

9. Scikit-learn Creating Machine Learning Models - Part 04.zip579.65 MB

9. Scikit-learn Creating Machine Learning Models - Part 03.zip547.32 MB

9. Scikit-learn Creating Machine Learning Models - Part 02.zip609.45 MB

9. Scikit-learn Creating Machine Learning Models - Part 01.zip653.57 MB

8. Matplotlib Plotting and Data Visualization - Part 03.zip380.36 MB

8. Matplotlib Plotting and Data Visualization - Part 02.zip355.70 MB

8. Matplotlib Plotting and Data Visualization - Part 01.zip449.63 MB

7. NumPy.zip889.60 MB

6. Pandas Data Analysis.zip738.27 MB

5. Data Science Environment Setup.zip857.07 MB

4. The 2 Paths.zip9.76 MB

2. Machine Learning 101.zip194.12 MB

1. Introduction.zip105.21 MB

🔰 Complete Machine Learning and Data Science 2021 ⏱43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, Machine Learni
🔰 Complete Machine Learning and Data Science 2021 43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

🔰 Complete Machine Learning and Data Science - Zero to Mastery ⏱43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, M
🔰 Complete Machine Learning and Data Science - Zero to Mastery 43 Hours 📦 371 Lessons Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more! Taught by: Andrei Neagoie #ML #python #development

Heyy👋 I will be uploading a detailed javascript roadmap with source to learn , it's has 5 pdfs included . .Stay tuned

Top important questions for interview

50 JavaScript Interview Question(1).txt0.03 KB