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
إظهار المزيد
الشبكة:📈 نظرة تحليلية على قناة تيليجرام Data science/ML/AI
تُعد قناة Data science/ML/AI (@datascience_bds) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 13 901 مشتركاً، محتلاً المرتبة 8 914 في فئة التكنولوجيات والتطبيقات والمرتبة 28 863 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 13 901 مشتركاً.
بحسب آخر البيانات بتاريخ 29 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 86، وفي آخر 24 ساعة بمقدار 0، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 7.48%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.04% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 1 039 مشاهدة. وخلال اليوم الأول يجمع عادةً 284 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 5.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل panda, learning, row, api, ethic.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“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...”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 30 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
13 901
المشتركون
لا توجد بيانات24 ساعات
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+8630 أيام
أرشيف المشاركات
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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*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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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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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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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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