现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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 67 833 名订阅者，在 教育 类别中位列第 2 428，并在 印度 地区排名第 5 035 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 67 833 名订阅者。
根据 15 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 82，过去 24 小时变化为 13，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 4.40%。内容发布后 24 小时内通常能获得 1.74% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 983 次浏览，首日通常累积 1 177 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 5。
- 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 16 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。
67 833
订阅者
+1324 小时
+187 天
+8230 天
帖子存档
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/DataScienceM
Django Roadmap
Link 1: https://github.com/HHHMHA/django-roadmap
Link 2:
https://github.com/faresemad/Django-Roadmap
قناة مهمة لكل مبرمج عم يبحث عن فرصة عمل او تدريب في مجال البرمجة او عندو رغبة بمتابعة tips او شروحات في مجال برمجة الويب او Problems solving
رابط القناة :
https://t.me/MGLNaJ
#MGLNaJ
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/DataScienceM
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A gentle introduction to K-Means Clustering in #R.
Featuring Tidyclust!
Enjoy.
https://www.business-science.io/code-tools/2023/07/06/kmeans-clustering.html?el=twitter
Important book
50 Algorithms Every Programmer Should Know (2023)
Read it
https://t.me/DataScienceM/286
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NLP
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Python
ML
Data Mining
Tensorflow
Keras
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Generative Adversarial Networks
https://realpython.com/generative-adversarial-networks
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages
https://t.me/addlist/8_rRW2scgfRhOTc0
We launched a special bot some time ago to download all scientific, software and mathematics books The bot contains more than thirty million books, and new books are downloaded first, In addition to the possibility of downloading all articles and scientific papers for free
To request a subscription: talk to @Hussein_Sheikho
📩 Python Email Automation Script
import smtplib
from email.mime.text import MIMEText
sender_email = "your_email@example.com"
recipient_email = "recipient_email@example.com"
subject = "Automated Email"
message = "This is an automated email sent using Python."
# SMTP server configuration (example: Gmail)
smtp_server = "smtp.gmail.com"
smtp_port = 587
smtp_username = "your_username"
smtp_password = "your_password"
msg = MIMEText(message)
msg["Subject"] = subject
msg["From"] = sender_email
msg["To"] = recipient_email
try:
server = smtplib.SMTP(smtp_server, smtp_port)
server.starttls()
server.login(smtp_username, smtp_password)
server.sendmail(sender_email, recipient_email, msg.as_string())
print("Email sent successfully!")
except Exception as e:
print("Error sending email:", str(e))
finally:
server.quit()
https://t.me/DataScienceT