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 π https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
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Tarmoq:π Telegram kanali Data science/ML/AI analitikasi
Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 053 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 084-o'rinni va Hindiston mintaqasida 28 047-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
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31 Oktabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 57 ga, soβnggi 24 soatda esa 1 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
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βData science and machine learning hub
Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources.
For beginners, data scientists and ML engineers
π https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatasci...β
Yuqori yangilanish chastotasi (oxirgi maβlumot 01 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
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Obunachilar
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Postlar arxiv
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Free Data Courses
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Want to learn python programming like a pro. Checkout our channel @pyguru python where we provide
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![Data Science and Machine Learning [PDF] Mathematical and Statistical Methods Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre,](https://cdn.tlmtr.io/_next/static/media/empty-channel.35ed232f.svg)
Data Science and Machine Learning [PDF]
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Applications of Deep Neural Networks
Washington University in St. Louis
https://sites.wustl.edu/jeffheaton/t81-558/
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NOC: Reinforcement Learning, IIT Madras
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Hey folks, this week's round of our programming quiz league is about data science. Here is the quiz link:
http://t.me/QuizBot?start=H4Ow9sU8
Feel free to answer on those 8 short questions and let me know about your placement on final score.
Also to those who celebrate today I wish Merry Christmas ππ₯³π
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Often the hardest part of solving a machine learning problem can be finding the right estimator for the job.
Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data.
Source: Scikit-learn
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Graphic SQL reference for data manipulation
Source: https://raw.githubusercontent.com/kelsfarmer/SQL/master/SQL%20Data%20Manipulation%20Language%20Cheat%20Sheet.png
