اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Data science/ML/AI
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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
نمایش بیشتر📈 تحلیل کانال تلگرام Data science/ML/AI
کانال Data science/ML/AI (@datascience_bds) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 13 684 مشترک است و جایگاه 9 384 را در دسته فناوری و برنامهها و رتبه 31 551 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 13 684 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 11 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 150 و در ۲۴ ساعت گذشته برابر 11 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 8.13% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.20% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 112 بازدید دریافت میکند. در اولین روز معمولاً 301 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 5 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند panda, learning, row, api, ethic تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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...”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 12 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
13 684
مشترکین
+1124 ساعت
+227 روز
+15030 روز
آرشیو پست ها
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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
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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
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Repo: https://github.com/ml-tooling/best-of-ml-python#image-data
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Difference between AI, ML and DL
Contains a simplified guide to understanding the terms AI, ML and DL
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+2Matplotlib Cheat Sheet
Contains essential MatPlotLib guide from beginners to pro
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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
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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
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Top 8 Github Repos to Learn Data Science and Python
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By: The Algorithms
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Repo: https://github.com/TheAlgorithms/Python
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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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