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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 75 833 名订阅者,在 教育 类别中位列第 2 106,并在 印度 地区排名第 4 234

📊 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 75 833 名订阅者。

根据 21 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 770,过去 24 小时变化为 8,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 3.15%。内容发布后 24 小时内通常能获得 1.09% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 385 次浏览,首日通常累积 827 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 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 22 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。

75 833
订阅者
+824 小时
+717
+77030
帖子存档
The Pandas Workshop.pdf28.94 MB

Introduction to Machine Learning with Applications in Information Security Mark Stamp, 2022

Machine Learning Projects 👇👇 https://t.me/Programming_experts/133

ML Cheatsheet.pdf1.25 MB

Azure Data Scientist Associate Certification Guide Andreas Botsikas, 2021

Super VIP cheat sheet for Data Scientists.pdf7.12 MB

Statistical Mechanics of Neural Networks Haiping Huang, 2021

Data Analyst Interview Questions [Python, SQL, PowerBI] 1. Is indentation required in python? Ans: Indentation is necessary for Python. It specifies a block of code. All code within loops, classes, functions, etc is specified within an indented block. It is usually done using four space characters. If your code is not indented necessarily, it will not execute accurately and will throw errors as well. 2. What are Entities and Relationships? Ans: Entity: An entity can be a real-world object that can be easily identifiable. For example, in a college database, students, professors, workers, departments, and projects can be referred to as entities. Relationships: Relations or links between entities that have something to do with each other. For example – The employee’s table in a company’s database can be associated with the salary table in the same database. 3. What are Aggregate and Scalar functions? Ans: An aggregate function performs operations on a collection of values to return a single scalar value. Aggregate functions are often used with the GROUP BY and HAVING clauses of the SELECT statement. A scalar function returns a single value based on the input value. 4. What are Custom Visuals in Power BI? Ans: Custom Visuals are like any other visualizations, generated using Power BI. The only difference is that it develops the custom visuals using a custom SDK. The languages like JQuery and JavaScript are used to create custom visuals in Power BI ENJOY LEARNING 👍👍

Efficient Methods for DL.pdf9.72 MB

Useful Pandas🐼 method you should definitely know ✅ head() ✅ info() ✅ fillna() ✅ melt() ✅ pivot() ✅ query() ✅ merge() ✅ assign() ✅ groupby() ✅ describe() ✅ sample() ✅ replace() ✅ rename()

To become a Machine Learning Engineer: • Python • numpy, pandas, matplotlib, Scikit-Learn • TensorFlow or PyTorch • Jupyter, Colab • Analysis > Code • 99%: Foundational algorithms • 1%: Other algorithms • Solve problems ← This is key • Teaching = 2 × Learning • Have fun!

BTP CRYPTO PUMPS & SIGNALS #byAdsly
BTP CRYPTO PUMPS & SIGNALS #byAdsly

BTP CRYPTO PUMPS & SIGNALS #byAdsly
BTP CRYPTO PUMPS & SIGNALS #byAdsly

Natural Language Processing with TensorFlow Thushan Ganegedara, 2022

BTP CRYPTO PUMPS & SIGNALS #byAdsly
BTP CRYPTO PUMPS & SIGNALS #byAdsly

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Linear Algebra and learning from data Gilbert Strang, 2019

BTP CRYPTO PUMPS & SIGNALS #byAdsly
BTP CRYPTO PUMPS & SIGNALS #byAdsly

Basics of Linear Algebra for Machine Learning Jason Brownlee, 2018

Practical Linear Algebra For Data Science Mike X. Cohen, 2022

Think Stats Allen B. Downey, 2011