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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 67 823 名订阅者,在 教育 类别中位列第 2 412,并在 印度 地区排名第 5 047

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 67 823 名订阅者。

根据 08 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 50,过去 24 小时变化为 -5,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 2.79%。内容发布后 24 小时内通常能获得 2.60% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 895 次浏览,首日通常累积 1 764 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 09 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。

67 823
订阅者
-524 小时
+227
+5030
帖子存档
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Repost from Machine Learning
📌 Paper Walkthrough: Attention Is All You Need 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-03 | ⏱️ Read time: 46 min read Th
📌 Paper Walkthrough: Attention Is All You Need 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-03 | ⏱️ Read time: 46 min read The complete guide to implementing a Transformer from scratch

Repost from Machine Learning
📌 Building a Convolutional Neural Network (CNNs) from Scratch 🗂 Category: 🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read L
📌 Building a Convolutional Neural Network (CNNs) from Scratch 🗂 Category: 🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset

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💯 Use Kaggle like a pro with this method! 👨🏻‍💻 Never underestimate Kaggle! One of the best ways to start learning data science and ML is Kaggle. A place where theory turns into practice, beginners become professionals, and skills turn into value. 🎯 This roadmap is the key to practical use of this amazing platform:👇 ⬅️ Step one: Strengthen your basic skills! ✏️ Start with Kaggle's short and free courses. Practical, focused, and suitable for beginners. ✅ Python ⬅️ Link ☑️ Introduction to Machine Learning ⬅️ Link ✔️ Introduction to Deep Learning ⬅️ Link ✔️ Introduction to SQL ⬅️ Link ✔️ Introduction to Game AI and RL ⬅️ Link 📝 Complete list of courses ⬅️Link                    ➖➖➖➖➖➖ ⬅️ Step two: Apply what you’ve learned. ✏️ Learning alone is not enough; you have to solve problems! Kaggle competitions are the best place for this. ✅ Classification problem for beginners ☑️ Regression-based challenge ✔️ Fake news detection with NLP ✔️ Deep learning on image data with TPU 📝 Complete list of competitions ⬅️Link https://t.me/CodeProgrammer 🌟

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Gradient Boosting for Regression Notes.pdf6.45 MB

👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python
👨🏻‍💻 One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars. ✏️ It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more. ✅ Why should we use it? 🔢 For learning: If you're looking to learn algorithms in action, this is great. 🔢 For practice: You can take the codes, run them, and modify them to better understand. 🔢 For projects : You can even use the codes here in real-life or academic projects. 🔢 For interviews: If you're preparing for data science interviews, this is full of practical algorithms. 🏳️‍🌈 The Algorithms - Python └ 🐱 GitHub-Repos

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📌 4 GitHub Repositories Every Python Developer Should Bookmark Looking to sharpen your skills and explore high-quality open-
📌 4 GitHub Repositories Every Python Developer Should Bookmark Looking to sharpen your skills and explore high-quality open-source resources? These curated repositories will boost your Python journey: ⬇️ Explore These Resources ➤ Algorithms in Python 1️⃣ All major algorithms implemented in Python 🔗 https://lnkd.in/e7v6bkq ➤ Python Cheat Sheet 2️⃣ Handy reference for Python 3 developers 🔗 https://lnkd.in/dzkMSwXz ➤ System Design 3️⃣ Learn scalable backend architecture fundamentals 🔗 https://lnkd.in/egCaujBF ➤ Django Resources 4️⃣ Curated list for Django backend development 🔗 https://lnkd.in/d4K-9vg3 🎓 Top Python & Backend Courses 🔗 Microsoft Python Development Professional Certificate https://lnkd.in/dDXX_AHM 🔗 Google IT Automation with Python https://lnkd.in/dG67Y8nK 🔗 Meta Data Analyst Professional Certificate https://lnkd.in/dbqX77F2 🔗 IBM AI Developer Professional Certificate https://lnkd.in/dZBS2KYX https://t.me/CodeProgrammer 🩷

Repost from Machine Learning
📌 How to Become a Machine Learning Engineer (Step-by-Step) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-15 | ⏱️ Read time:
📌 How to Become a Machine Learning Engineer (Step-by-Step) 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-15 | ⏱️ Read time: 12 min read Your one-stop guide to becoming a machine learning engineer