Machine Learning & Artificial Intelligence | Data Science Free Courses
前往频道在 Telegram
Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun
显示更多📈 Telegram 频道 Machine Learning & Artificial Intelligence | Data Science Free Courses 的分析概览
频道 Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 66 762 名订阅者,在 教育 类别中位列第 2 446,并在 马来西亚 地区排名第 431 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 66 762 名订阅者。
根据 25 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 519,过去 24 小时变化为 31,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 0.76%。内容发布后 24 小时内通常能获得 0.78% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 510 次浏览,首日通常累积 524 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 sellerflash, waybienad, pricing, buybox, buyer 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:
“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence
Admin: @coderfun”
凭借高频更新(最新数据采集于 26 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。
66 762
订阅者
+3124 小时
+797 天
+51930 天
帖子存档
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Practical Implementation of a Data Lake
Nayanjyoti Paul, 2023
Machine Learning with Python -> Amin Zollanvari
If you want to learn about crypto currency & Bitcoin, here is the perfect resource for you
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Follow Observers.com to get news and signals from the crypto world.
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V. Kishore Ayyadevara, 2020
What if we all are just a part of AI experiment by god- human’s life created as a unique dataset, contributing to the overall learning process. The Creator, observes the intricate patterns emerging from the myriad interactions among the humans.
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BCG Hiring ML Engineer
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https://t.me/getjobss/1851
Requirements:
Very high proficiency in Python programming language, knowledge of other languages.
such as R, Java would be a plus.
Knowledge of various AI/ML models including deep learning models.
Knowledge of Generative AI stack – Large Language Models / Foundation Models, vector databases, orchestration stack.
Hand on experience in building AI orchestration with frameworks like LangChain.
Knowledge of vector databases e.g., Pinecone, Chroma etc.
Deep understanding of data processing frameworks e.g., Data Bricks, Airflow etc.
Knowledge of API frameworks Django, Flask etc.
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Statistics For Data Science !.pdf1.29 MB
Famous ML Project Ideas
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5 High-growth career paths in Tech: Tech careers in 2024
Discover the trends, skills, and opportunities that will define tech careers in 2024.
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Data Science and Machine Learning.pdf20.05 MB
Learn Python Fast Deep Simple (2023)
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@datascience69
ChatGPT Prompt to learn any skill
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https://t.me/AI_Best_Tools/63
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