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
شبکه:📈 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 13 901 مشترک است و جایگاه 8 914 را در دسته فناوری و برنامهها و رتبه 28 863 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 13 901 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 29 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 86 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 7.48% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.04% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 039 بازدید دریافت میکند. در اولین روز معمولاً 284 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 30 اوت, 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.
13 901
مشترکین
اطلاعاتی وجود ندارد24 ساعت
-57 روز
+8630 روز
آرشیو پست ها
13 903
Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.
Creator: Jake Vanderplas
Stars⭐️: 39k
Fork: 17.1K
Repo: https://github.com/jakevdp/PythonDataScienceHandbook
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 903
Data Science Projects - Data Analysis & Machine Learning
Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners.
Rating ⭐️: 4.8 out 5
Students 👨🎓 : 5,201
Duration ⏰ : 1hr 44min on-demand video
Created by 👨🏫: Onur Baltacı
🔗 Course Link
#Projects #Data_Analysis #Machine_Learning #Data_Science
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👉Join @bigdataspecialist for more👈
13 903
Machine Learning & Data Science from Caltech
This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from more than 20 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects.
⏰ Free Online Course
🎬 18 Video lessons
📁 downloadable resources
🏃♂️ Self paced
Offered by: Caltech
🔗 Course link
#Machine #Leaning #machinelearning #data_science
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13 903
Data Science for Beginners - A Curriculum
Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
Creator: Microsoft
Stars⭐️: 21.6k
Fork: 4.3K
Repo: https://github.com/microsoft/Data-Science-For-Beginners
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*This channel belongs to @bigdataspecialist group
13 903
15 Different Types of Data Scientists [with Responsibilities]
A Data Scientist is a person who uses his/her skillset to gather, manage and store data for analysis. This is not easy as it sounds; a single person cannot do handling and engineer data. Proficiency in programming, mathematics, statistics, databases, etc., are some of the basic skills required to pursue different data science types of activities.
Creating various types of data science models is the key responsibility of a data scientist. Financial models, Business models, and Machine learning models are some of the models which are developed by different types of data scientists.
Data science is a broad term; the number of activities involved in data science is classified among professionals called Data Scientists. Let's explore the different types of data scientists along with their responsibilities.
🔗 Article Link
#Data_Science #Data #Science #datascience_types
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*This channel belongs to @bigdataspecialist group
13 903
INTRODUCTION TO DATA SCIENCE/Machine Learning
In this course, I include easy-to-understand materials covering topics from data mining and machine learning. I try to explain the algorithms and the mathematics behind those algorithms in such a way that the resources do not overwhelm the learners. At the same time, I make sure that each lecture has adequate core content to build a data science foundation. I am still creating content and adding them to this curriculum.
🆓 Free Online Course
🎬 video lessons
🏃♂️ Self paced
Modules ⏰: 6
Source: computing4all
🔗 Course Link
#Data_Science #Data #Science
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*This channel belongs to @bigdataspecialist group
13 903
Data Science and Machine Learning
by Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman
📄 533 pages
🔗 Book Link
#data_science #machinelearning
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13 903
Basics of Pandas for Data Analysis & Data Science
Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 2,376
Duration ⏰ : 1hr 55min on-demand video
Created by 👨🏫: Shan Singh
🔗 Course Link
#Pandas #Data_Analysis #Data_Visualization #Data_Science
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