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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

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Сеть:Programming, data science, ML - free courses by Big Data Specialist Индия28 819 Технологии и приложения8 911...

📈 Аналитический обзор Telegram-канала Data science/ML/AI

Канал Data science/ML/AI (@datascience_bds) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 905 подписчиков, занимая 8 911 место в категории Технологии и приложения и 28 819 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 905 подписчиков.

Согласно последним данным от 30 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 90, а за последние 24 часа — 7, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.35%. В первые 24 часа после публикации контент обычно набирает 2.05% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 022 просмотров. В течение первых суток публикация набирает 285 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как panda, learning, row, api, ethic.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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...”

Благодаря высокой частоте обновлений (последние данные получены 31 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

13 905

Подписчики

+724 часа

+17 дней

+9030 день

1 022

Просмотры поста

~ 28524 часа

~ 40648 часов

7.35%

Коэффициент вовлеченности

~ 1

Постов в день

Ads index

beta

Архив постов

13 906

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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Sorry I haven't forwarded it earlier, this post belongs to this channel as well. 👆

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Repost from Programming, data science, ML - free courses by Big Data Specialist

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 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

13 906

When to Choose CatBoost Over XGBoost or LightGBM [Practical Guide] Boosting algorithms have become one of the most powerful algorithms for training on structural (tabular) data. I have been working with these 3 for years, even my bachelor thesis was comparison of these 3 algorithms alongside AdaBoost. This article explains when to use CatBoost over other ones. https://neptune.ai/blog/when-to-choose-catboost-over-xgboost-or-lightgbm ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

13 906

Repost from Cool GitHub repositories

data-science This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World. Creator: ossu Stars ⭐️: 14.5k Forked By: 2.6k GithubRepo:https://github.com/ossu/data-science ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

13 906

Knowledge Graphs Course Data Models, Knowledge Acquisition, Inference and Applications Department of Computer Science, Stanford University, Spring 2021 ⏳10 weeks, each week has slides and video lessons 📽 https://web.stanford.edu/class/cs520/ #datascience #machinelearning #tensorflow #scikitlearn #keras ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @programming_books_bds for more

13 906

ML_cheatsheets.pdf7.63 MB

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Another data science channel you might like: https://t.me/Artificial_Intelligence_DS

13 906

Repost from Free programming books

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron 📑 510 pages 🔗 Book link #datascience #machinelearning #tensorflow #scikitlearn #keras ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @programming_books_bds for more

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The R Programming For Data Science A-Z Complete Diploma 2022 Rating ⭐️: 4.5 out of 5 Students 👨‍🎓: 38,584 Duration ⏰: 5h 6min 🔗 Course link

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ML Q&A.pdf2.14 KB

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Reproducible Data Science with Docker https://archive.org/details/pyconza2018-Reproducible_Data_Science_with_Docker

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Intro to Machine Learning by Kaggle Learn the core ideas in machine learning, and build your first models. 1 How Models Work The first step if you're new to machine learning. 2 Basic Data Exploration Load and understand your data. 3 Your First Machine Learning Model Building your first model. Hurray! #machinelearning #ml ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group 4 Model Validation Measure the performance of your model, so you can test and compare alternatives. 5 Underfitting and Overfitting Fine-tune your model for better performance. 6 Random Forests Using a more sophisticated machine learning algorithm. 7 Machine Learning Competitions Enter the world of machine learning competitions to keep improving and see your progress. 🔗 Course link

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Data Cleaning Guide.pdf2.11 MB

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FOUNDATIONS OF MACHINE LEARNING by Bloomberg Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning 🎬 30 video lessons with slides ⏰ 28 hours https://bloomberg.github.io/foml/#home #machinelearning #ml ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

13 906

The Incredible PyTorch A curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://www.ritchieng.com/the-incredible-pytorch/ #pytorch ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group