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 68 475 名订阅者,在 教育 类别中位列第 2 403,并在 印度 地区排名第 4 579 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
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
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✅ https://t.me/Python53
Anyone who has programming channels with more than 2,000 subscribers and wants to generate income, contact me immediately.
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Git commands basics
#MachineLearning #DeepLearning #BigData #Datascience #ML #Pandas #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #LLMs #AIagents
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Python Network Programming Cheat Sheet 🖥
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Regression & Classification Loss Functions
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🐼 20 of the most used Pandas + PDF functions
👨🏻💻 The first time I used Pandas, I was supposed to quickly clean and organize a raw and complex dataset with the help of Pandas functions. Using the groupby function, I was able to categorize the data and get in-depth analysis of customer behavior. Best of all, it was when I used loc and iloc that I could easily filter the data.
✔️ Since then I decided to prepare a list of the most used Pandas functions that I use on a daily basis. Now this list is ready! In the following, I will introduce 20 of the best and most used Pandas functions:
🏳️🌈 read_csv(): Fast data upload from CSV files
🏳️🌈 head(): look at the first five rows of the database to start..
🏳️🌈 info(): Checking data structure such as data type and empty values.
🏳️🌈 describe(): Generate descriptive statistics for numeric columns.
🏳️🌈 loc[ ]: accesses rows and columns by label or condition.
🏳️🌈 iloc[ ]: Access data by row number.
🏳️🌈 merge(): Merge dataframes with common columns.
🏳️🌈 groupby(): Grouping for easier analysis.
🏳️🌈 pivot_table(): Summarize data in pivot table format.
🏳️🌈 to_csv(): Save data as a CSV file.
🏳️🌈 pd.concat(): Concatenate multiple dataframes in rows or columns.
🏳️🌈 pd.melt(): Convert wide format data to long format.
🏳️🌈 pd.pivot_table(): Create a pivot table with multiple levels.
🏳️🌈 pd.cut(): Split the data into specific intervals.
🏳️🌈 pd.qcut(): Sort data by percentage.
🏳️🌈 pd.merge(): Merge data in database style for advanced linking.
🏳️🌈 DataFrame.apply(): Apply a custom function to the data.
🏳️🌈 DataFrame.groupby(): Analyze grouped data.
🏳️🌈 DataFrame.drop_duplicates(): Drop duplicate rows.
🏳️🌈 DataFrame.to_excel(): Save data directly to Excel file.
┌ 🐼 Pandas Functions
└ 📄 PDF
#MachineLearning #DeepLearning #BigData #Datascience #ML #Pandas #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #LLMs #AIagents
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Best LLMs Courses
Link: https://www.mltut.com/best-large-language-models-courses/
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Master #DataAnalytics for real-world problems. I have curated a list of 40 Data Analytics Projects (solved & explained) that will help you build analytics skills using #Python.
Includes projects like:
1. Rainfall Trends in India Analysis
2. Netflix Content Strategy Analysis
3. Creating a Mutual Fund Plan
4. Stock Market Portfolio Optimization
5. Metro Operations Optimization
6. Analyzing the Impact of Carbon Emissions
Find this list of projects here:
https://thecleverprogrammer.com/2024/11/01/data-analytics-projects-with-python/
📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #deeplearning #Projects
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▶️ The best project oriented videos
💻 To learn data science
👨🏻💻 The best way to learn data science is to combine theoretical learning with practical projects. After you have mastered the main concepts and tools, stop wasting your time and start learning project-based and doing real projects!
✅ Here I put 17 real data science projects in video form:👇
1️⃣ Making machine learning transparent with LINK ⬅️ AI
2️⃣ LINK practical guide ⬅️ PySpark
3️⃣ Construction of LINK model ⬅️ SRKGPT
4️⃣ Building a recovery system ⬅️ LINK
5️⃣ Strengthening small models ⬅️ (2) , (1)
6️⃣ Set Falon and Lama-2 ⬅️ (2) , (1)
7️⃣ Embedding data using LINK ⬅️ BERT
8️⃣ Compression of models ⬅️ LINK
9️⃣ Dynamic pricing in business ⬅️ LINK
1️⃣ Product embedding in big data ⬅️ LINK
1️⃣ Twitter recommender systems ⬅️ LINK
1️⃣ How the Twitter algorithm works ⬅️ LINK
1️⃣ Pinterest advertising systems ⬅️ LINK
1️⃣ Search for the nearest neighbor ⬅️ LINK
1️⃣ LINK controller ⬅️ PID
1️⃣ Training neural networks ⬅️ LINK
⚫️ Data dimensionality reduction with LINK ⬅️ PCA
5 Free Courses for Mastering LLMs
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