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 67 823 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 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 67 823 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 天
+5030 天
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
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
Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset
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🎯 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.
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✏️ 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
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👨🏻💻 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-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
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🔗 Meta Data Analyst Professional Certificate
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🔗 IBM AI Developer Professional Certificate
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Repost from Machine Learning
📌 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
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
