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

Network:Programming, data science, ML - free courses by Big Data Specialist India28 819 Technologies & Applications8 911...

📈 Analytical overview of Telegram channel Data science/ML/AI

Channel Data science/ML/AI (@datascience_bds) in the English language segment is an active participant. Currently, the community unites 13 905 subscribers, ranking 8 911 in the Technologies & Applications category and 28 819 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 905 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 90 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.35%. Within the first 24 hours after publication, content typically collects 2.05% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 022 views. Within the first day, a publication typically gains 285 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
Thematic interests: Content is focused on key topics such as panda, learning, row, api, ethic.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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...”

Thanks to the high frequency of updates (latest data received on 31 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

13 905

Subscribers

+724 hours

+17 days

+9030 days

1 022

Post views

~ 28524 hours

~ 40648 hours

7.35%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

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20 AWESOME SOURCES OF FREE DATA SETS If you are after solid data to do your projects with ease and lessen the stress of doing the data collection yourself, here's a good resource containing amazing sites where you can get your data sets for free😁 https://www.searchenginejournal.com/free-data-sources/302601/#close

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THE MACHINE LEARNING DEVELOPMENT WORKFLOW

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

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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 Fork: 962 Repo: https://github.com/ml-tooling/best-of-ml-python#image-data ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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

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

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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 1. All algorithms implemented in Python By: The Algorithms Stars ⭐️: 135K Fork: 35.3K Repo: https://github.com/TheAlgorithms/Python 2. DataScienceResources By: jJonathan Bower Stars ⭐️: 3K Fork: 1.3K Repo: https://github.com/jonathan-bower/DataScienceResources 3. Playground and Cheatsheet for Learning Python By: Oleksii Trekhleb ( Also the Image) Stars ⭐️: 12.5K Fork: 2K Repo: https://github.com/trekhleb/learn-python 4. Learn Python 3 By: Jerry Pussinen Stars ⭐️: 4,8K Fork: 1,4K Repo: https://github.com/jerry-git/learn-python3 5. Awesome Data Science By: Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol. Stars ⭐️: 18.4K Fork: 5K Repo: https://github.com/academic/awesome-datascience 6. data-scientist-roadmap By: MrMimic Stars ⭐️: 5K Fork: 1.5K Repo: https://github.com/MrMimic/data-scientist-roadmap 7. Data Science Best Resources By: Tirthajyoti Sarkar Stars ⭐️: 1.8K Fork: 717 Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md 8. Ds-cheatsheets By: Favio André Vázquez Stars ⭐️: 10.4K Fork: 3.1K Repo: https://github.com/FavioVazquez/ds-cheatsheets ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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

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