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 68 460 名订阅者,在 教育 类别中位列第 2 398,并在 印度 地区排名第 4 562 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 68 460 名订阅者。
根据 02 十一月, 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 -42,过去 24 小时变化为 -6,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 3.87%。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 2 649 次浏览,首日通常累积 1 038 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 8。
- 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 03 十一月, 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。
68 460
订阅者
-624 小时
-1037 天
-4230 天
帖子存档
🚀 Comprehensive Tutorial: Build a Folder Monitoring & Intruder Detection System in Python
Read and get code: https://hackmd.io/@husseinsheikho/Build-a-Folder-Monitoring
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Transformer Lesson - Part 1/7: Introduction and Architecture
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📚 JaidedAI/EasyOCR — an open-source Python library for Optical Character Recognition (OCR) that's easy to use and supports over 80 languages out of the box.
### 🔍 Key Features:
🔸 Extracts text from images and scanned documents — including handwritten notes and unusual fonts
🔸 Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
🔸 Built on PyTorch — uses modern deep learning models (not the old-school Tesseract)
🔸 Simple to integrate into your Python projects
### ✅ Example Usage:
import easyocr
reader = easyocr.Reader(['en', 'ru']) # Choose supported languages
result = reader.readtext('image.png')
### 📌 Ideal For:
✅ Text extraction from photos, scans, and documents
✅ Embedding OCR capabilities in apps (e.g. automated data entry)
🔗 GitHub: https://github.com/JaidedAI/EasyOCR
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#Python #OCR #MachineLearning #ComputerVision #EasyOCR30 NumPy MCQs with solutions
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