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Data Science & Machine Learning

Data Science & Machine Learning

前往频道在 Telegram

Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

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📈 Telegram 频道 Data Science & Machine Learning 的分析概览

频道 Data Science & Machine Learning (@datasciencefun) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 75 816 名订阅者,在 教育 类别中位列第 2 113,并在 印度 地区排名第 4 286

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 75 816 名订阅者。

根据 18 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 884,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 3.25%。内容发布后 24 小时内通常能获得 1.38% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 462 次浏览,首日通常累积 1 043 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 4
  • 主题关注点: 内容集中在 learning, accuracy, distribution, panda, dataset 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:
Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

凭借高频更新(最新数据采集于 19 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。

75 816
订阅者
+624 小时
+1657
+88430
帖子存档
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To start with Machine Learning: 1. Learn Python 2. Practice using Google Colab Take these free courses: https://t.me/datasciencefun/290 If you need a bit more time before diving deeper, finish the Kaggle tutorials. At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle. If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed. From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit. The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them: https://t.me/datasciencefree/259 Many different books will help you. The attached image will give you an idea of my favorite ones. Finally, keep these three ideas in mind: 1. Start by working on solved problems so you can find help whenever you get stuck. 2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice. 3. Find a community on LinkedIn or 𝕏 and share your work. Ask questions, and help others. During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right. Here is the good news: Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in space. Focus on finding your path, and Write. More. Code. That's how you win.✌️✌️

Machine Learning for Decision Makers 👇👇 https://t.me/machinelearning_deeplearning/110

5 High-growth career paths in Tech: Tech careers in 2024 Discover the trends, skills, and opportunities that will define tech careers in 2024. 📆 Date: December 28th, 2023 🕒 Time:  8PM-10PM Free Registration Link: 👇👇 https://bit.ly/47clbV6 Don't miss out on this opportunity to elevate your Data Science career!  ENJOY LEARNING 👍👍

Python Real-world Projects 👇👇 https://t.me/pythonspecialist/105

Machine Learning Interview Questions

Data Science Cheatsheet.pdf6.15 KB

Data Science and Machine Learning.pdf20.05 MB

What are predictive algorithms in the context of the stock market? https://t.me/stockmarketingfun/277

Machine_Learning_Engineering_with_Python,_2nd_Edition_Andrew_P_McMahon.epub18.61 MB

STRONG PERSONALITIES HAVE THEIR PRINCIPLES I am telling you a must have trait if you want to build your personality. You must live with your STRONG PRINCIPLES! If you decided to not to smoke or drink, NEVER DO IT whatever the condition is. THIS IS YOUR PRINCIPLE. If you decided not to eat non-veg, then never do it. YOU CAN HAVE YOUR OWN STRONG PRINCIPLES IN LIFE! The thing that matter is to follow them no matter what the condition is!!!

Data Science & Machine Learning Project Discussions 👇👇 https://t.me/Kaggle_Group