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Data science/ML/AI

Data science/ML/AI

前往频道在 Telegram

Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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📈 Telegram 频道 Data science/ML/AI 的分析概览

频道 Data science/ML/AI (@datascience_bds) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 13 672 名订阅者,在 技术与应用 类别中位列第 9 377,并在 印度 地区排名第 31 635

📊 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 13 672 名订阅者。

根据 09 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 155,过去 24 小时变化为 5,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 8.03%。内容发布后 24 小时内通常能获得 2.25% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 098 次浏览,首日通常累积 308 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 5
  • 主题关注点: 内容集中在 panda, learning, row, api, ethic 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:
Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...

凭借高频更新(最新数据采集于 10 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 技术与应用 类别中的关键影响点。

13 672
订阅者
+524 小时
+197
+15530
帖子存档
Modern Data Scientist What the industry needs? Rating ⭐️: 4.5 out 5 Students 👨‍🎓 : 3158 Duration ⏰ : 1hr 40 min of on-demand video Created by 👨‍🏫: Prof Poornachandra Sarang, Ph.D. 🔗 Course Link #datascience #programming ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. ✅ Free Online Course 🏃‍♂️ Self paced Duration ⏰ : 11-12 hours long Source: Edureka 🔗 COURSE LINK #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Virgilio Data Science This repository contains articles, GitHub repos and Kaggle kernels which provides data science and machine learning projects with code. Creator: virgili0 Stars ⭐️: 13.9k Forked By: 2.5k https://github.com/virgili0/Virgilio #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data Science Advanced Analytics Interview Prep. Kit - 182+ A walkthrough from the essentials of 182+ data science interview questions from linear regression to advance analytics Rating ⭐️: 4.6 out 5 Students 👨‍🎓 : 2676 Duration ⏰ : 1hr 2min of on-demand video Created by 👨‍🏫: Rupak Bob Roy 🔗 Course Link #datascience #dataanalytics #programming ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

8 Great Data Science Books For Beginners In the past few years public interest in data science has surged. What had been a fairly esoteric field is now a common topic in the news, in politics and international law, and in our social media feeds. Data literacy is becoming a highly desired skill in every industry, and consumers enter data points into massive business intelligence systems every day. Whether you just want to stay informed in the data craze or you’re looking to kickstart your data science or data literacy journey, this article features a list of books that can help newcomers navigate the world of data science. 1. “The Data Science Handbook 2. “Doing Data Science: Straight Talk from the Frontline” by Cathy O'Neil and Rachel Schutt 3. “Numsense! Data Science for the Layman: No Math Added” by Annalyn Ng and Kenneth Soo 4. “The Art of Data Science” by Roger D. Peng and Elizabeth Matsui 5. “Data Science For Dummies” by Lillian Pierson 6. “Big Data For Dummies” by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman 7. “Data Jujitsu: The Art of Turning Data into Product” by DJ Patil 8. “Big Data: A Revolution That Will Transform How We Live, Work, and Think” by Viktor Mayer-Schönberger and Kenneth Cukier 🔗 Read More

Learning Data Science: Understanding the Basics Many of the people who work on data science teams won't be data scientists. They'll be the managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. This course is an introduction to data science for people who aren't planning on being full-time data scientists. It introduces big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, and applying statistical analysis. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field. ✅ Free Online Course 🏃‍♂️ Self paced Duration ⏰ : 1-2 hours long 4 quizzes Source: linkedin learning 🔗 COURSE LINK #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Data Science Platform Market Size
Data Science Platform Market Size

Data Science Full Course 2024 | Data Science Course For Beginners | Learn Data Science | This Data Science Course 2024 covers all the important skill sets required to get you a job as a Data Scientist! This particular Data Science Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Data Science from Fundamentals To Solving Basic Data Science Problems Using Machine Learning Algorithms. With this Data Science Course 2024, we will give you the Fundamental idea of what is data science, What Datasets are all about, Basic Machine Learning Algorithms, and how you can solve real-world problems like heart disease detection using Data science. We will also help you with the trending project idea which is creating a Chatbot of your own like ChatGPT using data science. We will also highlight some of the important data science interview questions. ✅ Free Online Course 🏃‍♂️ Self paced Duration ⏰ : 11-12 hours long Source: Intellipaat 🔗 COURSE LINK #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

DATA SCIENCE :THEORIES , MODELS , ALGORITHMS , AND ANALYTICS by S A N J I V R A N J A N D A S 📄 462 pages 🔗 Read Online #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Data Science BootCamp - From Analysing Data To Creating ML Models This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more. ✅ Free Online Course 🏃‍♂️ Self paced Duration ⏰ : 6 weeks long Source: geeksforgeeks 🔗 COURSE LINK #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Become a Citizen Data Scientist with HyperSense-AI Studio Use R Programming for Scientific Research Rating ⭐️: 4.6 out 5 Students 👨‍🎓 : 3139 Duration ⏰ : 1.5 hours on-demand video Created by 👨‍🏫: Learning Hypersense 🔗 COURSE LINK #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Data Science Projects Collection of data science projects in Python Creator: Vaibhav Singh Stars ⭐️: 1.5k Forked By: 406 https://github.com/veb-101/Data-Science-Projects #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

7 Categorical Data Encoding Techniques
7 Categorical Data Encoding Techniques

Checklist to become a Data Analyst
Checklist to become a Data Analyst

10 Best Practices for Data Science The main bottleneck in data science are no longer compute power or sophisticated algorithm
10 Best Practices for Data Science The main bottleneck in data science are no longer compute power or sophisticated algorithms, but craftsmanship, communication, and process. And that the aim is to not only produce work that is accurate and correct, but also can be understood, work that others can collaborate on. Rule 1: Start Organized, Stay Organized Rule 2: Everything Comes from Somewhere, and the Raw Data is Immutable Rule 3: Version Control is Basic Professionalism Rule 4: Notebooks are for Exploration, Source Files are for Repetition Rule 5: Tests and Sanity Checks Prevent Catastrophes Rule 6: Fail Loudly, Fail Quickly Rule 7: Project Runs are Fully Automated from Raw Data to Final Outputs Rule 8: Important Parameters are Extracted and Centralized Rule 9: Project Runs are Verbose by Default and Result in Tangible Artifacts Rule 10: Start with the Simplest Possible End-to-End Pipeline Lessons 🔗 Read More #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

How To Use R Programming for Research Use R Programming for Scientific Research Rating ⭐️: 4.5 out 5 Students 👨‍🎓 : 19,897 Duration ⏰ : 1.5 hours on-demand video 👩‍💻 2 coding exercises ⬇️ 29 downloadable resources Created by 👨‍🏫: Prof Asad Rasul 🔗 COURSE LINK ⚠️ Its free for first 1000 enrollments only! #R_Programming ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

Practical Deep Learning For Coders This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems. 🆓 Free Online Course Rating⭐️: 4.1 out 5 Duration ⏰: 7 weeks 💻 Lecture Videos 🏃‍♂️ Self paced Teacher 👨‍🏫 : Prof. Jeremy Howard 🔗 Course Link #programming #deeplearning ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

Big Data
Big Data

Building the machine learning model
Building the machine learning model

Applications of Deep Learning
Applications of Deep Learning

Data science/ML/AI - Telegram 频道 @datascience_bds 的统计与分析