现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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
显示更多📈 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 13 684 名订阅者，在 技术与应用 类别中位列第 9 384，并在 印度 地区排名第 31 551 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 13 684 名订阅者。
根据 11 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 150，过去 24 小时变化为 11，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 8.13%。内容发布后 24 小时内通常能获得 2.20% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 112 次浏览，首日通常累积 301 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 12 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。
13 684
订阅者
+1124 小时
+227 天
+15030 天
帖子存档
13 690
The Machine Learning Crash Course With TensorFlow APIs
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Link: **https://developers.google.com/machine-learning/crash-course
**Contents:
🔘 30+ Exercises
🔘 25 Lessons
🔘 15 hours course duration
🔘 Lectures from Google Researchers
🔘 Real World Case Studies
🔘 Interactive Visualisation of Algorithms in action
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*This channel belongs to @bigdataspecialist group
13 690
2022 Python and Machine Learning in Financial Analysis
Looking to improve your machine learning skills for financial analysis? Here's a free resource for you😉
Rating⭐️: 4.3 out 5
Students 👨🎓 : 33,014
Duration ⏰ : 20 hours on-demand video
Teacher 👨🏫: S.Emadedin Hashemi
Course Link
This course coupon expires until 3rd of May. Let's jump on this while we still can😁
#machinelearning #pythoncourses #python
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13 690
Best of Machine Learning with Python
Here's a ranked list of 920 awesome machine learning projects with a total of 3,4 Million stars grouped into 34 categories.
Stars⭐️: 6.9K
Fork: 962
Repo: https://github.com/ml-tooling/best-of-ml-python#image-data
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13 690
Difference between AI, ML and DL
Contains a simplified guide to understanding the terms AI, ML and DL
13 690
+2Matplotlib Cheat Sheet
Contains essential MatPlotLib guide from beginners to pro
13 690
The Best Data Science Approaches In The Data Mining World
One of the best approaches in the data mining world is called the CRISP-DM. This means Cross Industry Standard Process for Data Mining. It describes the data project as having six phases.
1) Business Understanding
a) What is the business objectives and situation assessment
b) Determine the data mining goal and create a project plan
2) Data Understanding
a) Collect Initial data and describe data
b) Explore data and verify data quality
3) Data Preparation
a) Get,Select and Clean the data set
b) Construct and Integrate data
4) Modeling
a) Select model technique and generate test design
b) Build and access model
5) Evaluation
a) Evaluate and review process
b) Determine the next steps
6) Deployment
a) Plan deployment
b) Plan monitoring and maintenance
c) Produce final report and review project
13 690
Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS
Complete Machine Learning Course with Python for beginners
Rating⭐️: 4.6 out 5
Students 👨🎓 : 18533
Duration ⏰ : 13 hours on-demand video
Teacher 👨🏫: Prashant Mishra
🔗 Course link
I have noticed this one is currently free (but only for first 1000 enrols !!!) so I thought some of you might be interested 😊
#machinelearning #pythoncourses #python
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13 690
The Data Science Interview Study Guide
Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.
https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html
13 690
Top 8 Github Repos to Learn Data Science and Python
1. All algorithms implemented in Python
By: The Algorithms
Stars ⭐️: 135K
Fork: 35.3K
Repo: https://github.com/TheAlgorithms/Python
2. DataScienceResources
By: jJonathan Bower
Stars ⭐️: 3K
Fork: 1.3K
Repo: https://github.com/jonathan-bower/DataScienceResources
3. Playground and Cheatsheet for Learning Python
By: Oleksii Trekhleb ( Also the Image)
Stars ⭐️: 12.5K
Fork: 2K
Repo: https://github.com/trekhleb/learn-python
4. Learn Python 3
By: Jerry Pussinen
Stars ⭐️: 4,8K
Fork: 1,4K
Repo: https://github.com/jerry-git/learn-python3
5. Awesome Data Science
By: Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol.
Stars ⭐️: 18.4K
Fork: 5K
Repo: https://github.com/academic/awesome-datascience
6. data-scientist-roadmap
By: MrMimic
Stars ⭐️: 5K
Fork: 1.5K
Repo: https://github.com/MrMimic/data-scientist-roadmap
7. Data Science Best Resources
By: Tirthajyoti Sarkar
Stars ⭐️: 1.8K
Fork: 717
Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md
8. Ds-cheatsheets
By: Favio André Vázquez
Stars ⭐️: 10.4K
Fork: 3.1K
Repo: https://github.com/FavioVazquez/ds-cheatsheets
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13 690
Few Numpy Tutorials
Python NumPy Tutorial – Learn NumPy Arrays With Examples
https://www.edureka.co/blog/python-numpy-tutorial/
Python Numpy Tutorial (with Jupyter and Colab)
https://cs231n.github.io/python-numpy-tutorial/
NumPy fundamentals (official docs)
https://numpy.org/doc/stable/user/basics.html
#numpy
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13 690
Python Machine Learning (3rd Ed.) Code Repository
Paperback: 770 pages
Publisher: Packt Publishing
Language: English
https://github.com/rasbt/python-machine-learning-book-3rd-edition
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13 690
Sorry I haven't forwarded it earlier, this post belongs to this channel as well. 👆
13 690
Data Analysis free courses
The Analytics Edge (Spring 2017)
by MIT
🎬 193 video lessons
⏰ 16 hours worth of material
🔗 Courses link
Statistics and data literacy for non-statisticians
Rating ⭐️: 4.7 out of 5
Students 👨🎓: 13,320
Duration ⏰: 1h 36min
Teacher: Mike X Cohen
🔗 Courses link
Data Analysis with Python courses
by freeCodeCamp
[
Data Analysis with Python
🎬 28 video lessons
Numpy
🎬 9 video lessons
Data Analysis with Python Projects
🔖 5 projects
🔗 Courses link
]
Data Analysis w/ Python 3 and Pandas
by sentdex
🎬 6 video lessons
⏰ 2-3 hours worth of material
🔗 Course link
Master Data Analysis with Python - Intro to Pandas 2022
Rating ⭐️: 4.6 out of 5
Students 👨🎓: 3,828
Duration ⏰: 1hr 49min
Teacher: Ted Petrou
🔗 Courses link
Learn to code for data analysis
by OpenLearn
⏳ 8 weeks
🔗 Course link
Lecture notes from Statistical Thinking and Data Analysis
by MIT
🔗 Notes link
Python for Data Analysis
Rating ⭐️: 4.2 out of 5
Students 👨🎓: 14,168
Duration ⏰: 1h 10min
Teacher: Bob Wakefield
🔗 Courses link
Prepare data for analysis
by Microsoft
📁2 modules
Get data in Power BI - 12 Units
Clean, transform, and load data in Power BI - 10 Units
Duration ⏰: 3 hr 26 min
🔗 Course link
NOC:Data Analysis and Decision Making - I, IIT Kanpur
NOC:Data Analysis & Decision Making - II, IIT Kanpur
NOC:Data Analysis & Decision Making - III, IIT Kanpur
👨🏫 Prof. Raghunandan Sengupta
Each of 3 parts lasts ⏳12 weeks!
#datanalysis #dataanalysis #datascience #powerbi #dataanalytics
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