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:📈 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 68 579 名订阅者，在 教育 类别中位列第 2 404，并在 印度 地区排名第 4 688 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 68 579 名订阅者。
根据 25 十月, 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 227，过去 24 小时变化为 -9，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 3.45%。内容发布后 24 小时内通常能获得 1.52% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 369 次浏览，首日通常累积 1 042 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 6。
- 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 26 十月, 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。
68 579
订阅者
-924 小时
-237 天
+22730 天
帖子存档
The 25 Best Free Resources for Learning AI in 2026
Learning artificial intelligence in 2026 is both easier and harder than it was a couple of years ago. Easier, because the best courses from Stanford and MIT, books by leading researchers, and hands-on lessons from Hugging Face are all openly available. Harder, because there is now far too much material, and the models and tools change every week. We have collected 25 proven free resources and arranged them by stage: from mathematics to LLMs, agents, and reading the latest papers.
Read: https://enghusseinsheikho.substack.com/p/the-25-best-free-resources-for-learning?r=3hwnr8&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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⭐️ If you want to get dangerously good at generative AI,
then save these 10 GitHub repos:
1️⃣ Generative AI for Beginners
→ https://github.com/microsoft/generative-ai-for-beginners
2️⃣ LLM Course
→ https://github.com/mlabonne/llm-course
3️⃣ Build a Large Language Model From Scratch
→ https://github.com/rasbt/LLMs-from-scratch
4️⃣ Prompt Engineering Guide
→ https://github.com/dair-ai/Prompt-Engineering-Guide
5️⃣ Awesome LLM Apps
→ https://github.com/Shubhamsaboo/awesome-llm-apps
6️⃣ OpenAI Cookbook
→ https://github.com/openai/openai-cookbook
7️⃣ Hands-On Large Language Models
→ https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
8️⃣ GenAI Agents
→ https://github.com/NirDiamant/GenAI_Agents
9️⃣ Awesome Generative AI Guide
→ https://github.com/aishwaryanr/awesome-generative-ai-guide
🔟 Anthropic Courses
→ https://github.com/anthropics/courses
💬 Anything else you'd add to this list?
===
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Repost from Data Analytics
If you want to get GOAT-level at software engineering,
save & star these 10 GitHub repos:
1 System design academy
↳ https://github.com/systemdesign42/system-design-academy
2 Public APIs
↳ https://github.com/public-apis/public-apis
3 Tech interview handbook
↳ https://github.com/yangshun/tech-interview-handbook
4 Coding interview university
↳ https://github.com/jwasham/coding-interview-university
5 Engineering leadership
↳ https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader
6 Freecodecamp
↳ https://github.com/freeCodeCamp/freeCodeCamp
7 Developer roadmaps
↳ https://github.com/kamranahmedse/developer-roadmap
8 Path to senior engineer handbook
↳ https://github.com/jordan-cutler/path-to-senior-engineer-handbook
9 Free programming books
↳ https://github.com/EbookFoundation/free-programming-books
10 Build your own x
↳ https://github.com/codecrafters-io/build-your-own-x
Anything else you'd add?
♻ Repost to help others become better engineers.
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Repost from Machine Learning
Agentic AI is the future.
If you want to become god-level with AI agents, save these 10 GitHub repos:
1 Awesome LLM Apps
🔗 https://github.com/Shubhamsaboo/awesome-llm-apps
2 Generative AI for Beginners
🔗 https://github.com/microsoft/generative-ai-for-beginners
3 LLM Course
🔗 https://github.com/mlabonne/llm-course
4 Prompt Engineering Guide
🔗 https://github.com/dair-ai/Prompt-Engineering-Guide
5 AI Agents for Beginners
🔗 https://github.com/microsoft/ai-agents-for-beginners
6 AI Agents Projects
🔗 https://github.com/ashishpatel26/500-AI-Agents-Projects
7 Hugging Face Agents Course
🔗 https://github.com/huggingface/agents-course
8 Awesome AI Agents
🔗 https://github.com/e2b-dev/awesome-ai-agents
9 GenAI Agents
🔗 https://github.com/NirDiamant/GenAI_Agents
10 Agents Towards Production
🔗 https://github.com/NirDiamant/agents-towards-production
Anything else you'd add?
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