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
显示更多📈 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
帖子存档
Python password generator 🖥
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Repost from Python Courses & Resources
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Unlock a treasure trove of knowledge with our exclusive paid bottles! For just $2 a month, gain access to thousands of valuable resources, including essential books and premium courses from Coursera and Udemy. Plus, dive into exciting paid projects! Enjoy hassle-free automatic payments via Telegram. Join us today! Link
Unlock a treasure trove of knowledge with our exclusive paid bottles! For just $2 a month, gain access to thousands of valuable resources, including essential books and premium courses from Coursera and Udemy. Plus, dive into exciting paid projects! Enjoy hassle-free automatic payments via Telegram. Join us today! Link
DS CHEAT SHEET PANDAS 🐼
#MachineLearning #Pands #DeepLearning #ArtificialIntelligence #AI #Algorithms #Python
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Important [ Python Built-in Methods ] {CheatSheet}
#MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI #Algorithms #python
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The Roadmap for Mastering Machine Learning in 2025
Link: https://machinelearningmastery.com/roadmap-mastering-machine-learning-2025/
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+1
🖥 Large Language Model Course
The popular free LLM course has just been updated.
This is a step-by-step guide with useful resources and notebooks for both beginners and those who already have an ml-base.
The course is divided into 3 parts:
1️⃣ LLM Fundamentals : The block provides fundamental knowledge of mathematics, Python and neural networks.
2️⃣ LLM Scientist : This block focuses on the internal structure of LLMs and their creation using the latest technologies and frameworks.
3️⃣ The LLM Engineer : Here you will learn how to write applications in a hands-on way and how to deploy them.
⭐️ 41.4k stars on Github
📌 https://github.com/mlabonne/llm-course
#llm #course #opensource #ml
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To generate stunning maps from OpenStreetMap data in #Python, use Prettymaps. It enables map creation with minimal code and offers versatile customization options.
🚀 Link to Prettymaps: bit.ly/3Ps02Qj
🔖 Dive deeper into the post: bit.ly/3PxxJjm
https://t.me/CodeProgrammer ☄️
Machine Learning concepts - Intermediate Level.
Convolutional Neural Network (CNN) Layers: Convolution vs Pooling vs Fully Connected
#MachineLearning #NeuralNetwork #DeepLearning #ArtificialIntelligence #AI #Algorithms
https://t.me/CodeProgrammer 🐍
Machine Learning Algorithm basics!
Support Vector Machines (SVM) vs k-Nearest Neighbors (k-NN)
#MachineLearning #algorithms #ML #DataScience #ArtificialIntelligence #AI
https://t.me/CodeProgrammer 🐍
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