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Machine Learning with Python

Machine Learning with Python

前往频道在 Telegram

Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Telegram 频道 Machine Learning with Python 的分析概览

频道 Machine Learning with Python (@codeprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 68 475 名订阅者,在 教育 类别中位列第 2 406,并在 印度 地区排名第 4 586 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 68 475 名订阅者。

根据 03 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -74,过去 24 小时变化为 12,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 4.07%。内容发布后 24 小时内通常能获得 1.55% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 789 次浏览,首日通常累积 1 062 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 8。
  • 主题关注点: 内容集中在 insidead, learning, degree, evaluation, algorithm 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

凭借高频更新(最新数据采集于 04 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

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68 475
订阅者
+1224 小时
-827 天
-7430 天
帖子存档
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Linear Regression explained
Linear Regression explained

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Generative AI meets pandas! PandasAI is a Python library that let's you interact with your dataframes in natural language. Ge
Generative AI meets pandas! PandasAI is a Python library that let's you interact with your dataframes in natural language. Generate reports, create plots and do RAG over multiple dataframes! Github link: https://github.com/Sinaptik-AI/pandas-ai

The Data Science and Python channel is for researchers and advanced programmers https://t.me/DataScienceT

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A promising digital wallet will distribute $40 for free to every user who creates an account on this wallet Terms of creating an account: Subscribe to their channel only. https://t.me/TronKeeperBot/app?startapp=418788114

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250 Coursera FREE Courses [Data Science, Machine Learning, Python] 2024
250 Coursera FREE Courses [Data Science, Machine Learning, Python] 2024

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🐼 Shifting time series with periods
🐼 Shifting time series with periods

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