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 68 114 名订阅者，在 教育 类别中位列第 2 374，并在 印度 地区排名第 4 765 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 68 114 名订阅者。
根据 28 八月, 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 75，过去 24 小时变化为 -18，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 4.69%。内容发布后 24 小时内通常能获得 1.70% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 3 194 次浏览，首日通常累积 1 155 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 29 八月, 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。
68 114
订阅者
-1824 小时
-907 天
+7530 天
帖子存档
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Amazing NumPy Cheat Sheet Snippet with 100 exercises for practicing the concept to get hands on to clear the coding round in the interviews
#NumPy #codingexams
https://t.me/DataScienceM
I want to share a tool that I genuinely believe can make a real difference for anyone building apps: PacketSDK. Many developers have strong active-user bases but still struggle to increase revenue. That’s exactly why this solution stands out—it adds extra income without disrupting users or interfering with your existing monetization methods.
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Learn Complete #MatPlotLib with most asked #interview questions
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Create a Wi-Fi QR code in Python in a couple of seconds
pip install wifi_qrcode_generatorimport wifi_qrcode_generator.generator
from PIL import Image
ssid = "CLCoding_WIFI"
password = "supersecret123"
security = "WPA"
from wifi_qrcode_generator.generator import wifi_qrcode
qr = wifi_qrcode(ssid, False, security, password)
qr.make_image().save("wifi_qr.png")
Image.open("wifi_qr.png")❔ Interview question
What do
globals() and locals() do?
Answer: Functions globals() and locals() return a dictionary with variables of the current scope.
▶️ globals() — provides access to all global names in the current module (i.e., variables, functions, and classes defined at the top level)
▶️ locals() — returns local variables in the current context: inside a function, class, or block
They are useful for dynamic analysis, debugging, metaprogramming, and when working with eval() / exec().
tags: #interview
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This GitHub repo is a gold mine for EVERY data scientist!
(full of hands-on and interactive tutorials)
DS Interactive Python provides several dashboards to interactively learn about statistics, ML models, and other related theoretical concepts!
Some key topics you can understand interactively:
• PCA
• Bagging and boosting
• Linear regression and OLS
• Bayesian and frequentist statistics
• confidence intervals
• clustering (kmeans, spectral clustering, etc.)
• central limit theorem
• neural networks (the backpropagation animation is really good)
• and many more.
Link: https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.me/CodeProgrammer
Repost from Python Courses & Resources
Create artificial intelligence using Python
In the video the author explains the basics of neural networks and shows how to implement your own simple #AI from scratch in #Python
https://t.me/Python53
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