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Machine Learning & Artificial Intelligence | Data Science Free Courses

Machine Learning & Artificial Intelligence | Data Science Free Courses

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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

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📈 Analytical overview of Telegram channel Machine Learning & Artificial Intelligence | Data Science Free Courses

Channel Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) in the English language segment is an active participant. Currently, the community unites 68 694 subscribers, ranking 2 390 in the Education category and 408 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 694 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 177 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.49%. Within the first 24 hours after publication, content typically collects 0.81% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 712 views. Within the first day, a publication typically gains 557 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as sellerflash, waybienad, pricing, buybox, buyer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun”

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.

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68 694
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+17730 days
Posts Archive
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Who is Data Scientist? He/she is responsible for collecting, analyzing and interpreting the results, through a large amount of data. This process is used to take an important decision for the business, which can affect the growth and help to face compititon in the market. A data scientist analyzes data to extract actionable insight from it. More specifically, a data scientist: Determines correct datasets and variables. Identifies the most challenging data-analytics problems. Collects large sets of data- structured and unstructured, from different sources. Cleans and validates data ensuring accuracy, completeness, and uniformity. Builds and applies models and algorithms to mine stores of big data. Analyzes data to recognize patterns and trends. Interprets data to find solutions. Communicates findings to stakeholders using tools like visualization.

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ML For Beginners 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all Creator: microsoft Stars ⭐️: 53.7k Forked By: 11.3k https://github.com/microsoft/ML-For-Beginners

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