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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📈 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 68 475 名订阅者，在 教育 类别中位列第 2 406，并在 印度 地区排名第 4 586 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 68 475 名订阅者。
根据 03 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 -74，过去 24 小时变化为 12，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 4.07%。内容发布后 24 小时内通常能获得 1.55% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 789 次浏览，首日通常累积 1 062 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 04 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。
68 475
订阅者
+1224 小时
-827 天
-7430 天
帖子存档
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As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news.
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🏳️🌈 Python became GitHub's first language!
👨🏻💻 In a recent GitHub report, with the expansion of artificial intelligence, Python could finally overtake JavaScript and become the most popular language on GitHub in 2024. This happened after 10 years of JavaScript dominance and it is not very strange.
✔️ Because with the growth of artificial intelligence, developers are turning to Python more than ever, and Python's applications in data science and analytics are increasing every day. You can read the full GitHub report here:👇
┌ 🐱 Top programming along GitHub
├ 💰 Report
⏪ I also introduced the most important Python libraries for working with data and AI here: 👇
🖥 Data Manipulation & Analysis
▶️ pandas
▶️ Apache Spark
▶️ Polars
▶️ DuckDB
📊 Data Visualization
➡️ matplotlib
➡️ plotly
➡️ seaborn
🖥 Machine & Deep Learning
➡️ TensorFlow
➡️ PyTorch
➡️ Keras
➡️ scikit-learn
➡️ XGBoost
➡️ LightGBM
➡️ Prophet
🌫 NLP & Large Language Models
➡️ Hugging Face Transformers
➡️ LangChain
➡️ LlamaIndex
🔑 Tags: #PYTHON #AI #ML #NLP
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Confusion matrix (TP, FP, TN, FN), clearly explained
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Convert PDF to docx using Python
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A Popular Interview Question: Discriminative vs. Generative Models
More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative
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How LLMs work, clearly explained ⭐
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