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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网络:Machine Learning with Python 印度5 033 教育2 417...

📈 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 67 816 名订阅者，在教育类别中位列第 2 417，并在印度地区排名第 5 033 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 67 816 名订阅者。

根据 10 六月, 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 49，过去 24 小时变化为 -10，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 2.61%。内容发布后 24 小时内通常能获得 2.40% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 770 次浏览，首日通常累积 1 628 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 7。
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 11 六月, 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。

67 816

订阅者

-1024 小时

-17 天

+4930 天

1 770

帖子浏览量

~ 1 62824 小时

~ 2 19748 小时

2.61%

参与率

~ 3

每日帖子数

Ads index

beta

帖子存档

67 816

58k, thanks ❤️

67 816

📝 Cheat sheets for data science and machine learning Link: https://sites.google.com/view/datascience-cheat-sheets #DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN https://t.me/CodeProgrammer ✅

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Keras Cheat Sheet: Neural Networks in Python By Sandeep Sharma

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Python #Pandas Cheat Sheet 🐼

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🏳️‍🌈 "NumPy Library" Tutorial 👨🏻‍💻 For the past few days, I've been busy preparing this comprehensive tutorial on the NumPy library for data science, trying to cover all the tips and tricks of this library. ✅ Why is this booklet different? Because it is not written based on just theoretical concepts, but is the result of my own experiences and learning. It has real and practical examples that will help you better understand #NumPy concepts and use them in your projects.💯

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🔥 MIT has updated its famous course 6.S191: Introduction to Deep Learning.

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Machine Learning Glossary Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more. Link: https://ml-cheatsheet.readthedocs.io/en/latest/index.html

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TensorFlow v2.0 Cheat Sheet

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