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Data science/ML/AI

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 πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Programming, data science, ML - free courses by Big Data SpecialistNetwork:Programming, data science, ML - free courses by Big Data SpecialistIndia31 551Technologies & Applications9 384

πŸ“ˆ 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 13 684 subscribers, ranking 9 384 in the Technologies & Applications category and 31 551 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 684 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 150 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.13%. Within the first 24 hours after publication, content typically collects 2.20% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 112 views. Within the first day, a publication typically gains 301 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Thanks to the high frequency of updates (latest data received on 12 June, 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.

13 684
Subscribers
+1124 hours
+227 days
+15030 days
Posts Archive
Data science/ML/AI
Data science/ML/AI
13 690
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: πŸ”˜ 30+ Exercises πŸ”˜ 25 Lessons πŸ”˜ 15 hours course duration πŸ”˜ Lectures from Google Researchers πŸ”˜ Real World Case Studies πŸ”˜ Interactive Visualisation of Algorithms in action βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
Data science/ML/AI
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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 youπŸ˜‰ Rating⭐️: 4.3 out 5 Students πŸ‘¨β€πŸŽ“ : 33,014 Duration ⏰ : 20 hours on-demand video Teacher πŸ‘¨β€πŸ«: 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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
Data science/ML/AI
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Difference between AI, ML and DL Contains a simplified guide to understanding the terms AI, ML and DL

Data science/ML/AI
Data science/ML/AI
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Matplotlib Cheat Sheet Contains essential MatPlotLib guide from beginners to pro
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Matplotlib Cheat Sheet Contains essential MatPlotLib guide from beginners to pro

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
Data science/ML/AI
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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

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
Data science/ML/AI
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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 πŸ‘¨β€πŸŽ“ : 18533 Duration ⏰ : 13 hours on-demand video Teacher πŸ‘¨β€πŸ«: Prashant Mishra πŸ”— 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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
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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

Data science/ML/AI
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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 AktΓΌrk, HΓΌseyin 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 AndrΓ© VΓ‘zquez Stars ⭐️: 10.4K Fork: 3.1K Repo: https://github.com/FavioVazquez/ds-cheatsheets βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
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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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
Data science/ML/AI
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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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
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Sorry I haven't forwarded it earlier, this post belongs to this channel as well. πŸ‘†

Data science/ML/AI
Data science/ML/AI
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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 πŸ”— Courses link Statistics and data literacy for non-statisticians Rating ⭐️: 4.7 out of 5 Students πŸ‘¨β€πŸŽ“: 13,320 Duration ⏰: 1h 36min Teacher: Mike X Cohen πŸ”— 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 πŸ”– 5 projects πŸ”— Courses link ] Data Analysis w/ Python 3 and Pandas by sentdex 🎬 6 video lessons ⏰ 2-3 hours worth of material πŸ”— Course link Master Data Analysis with Python - Intro to Pandas 2022 Rating ⭐️: 4.6 out of 5 Students πŸ‘¨β€πŸŽ“: 3,828 Duration ⏰: 1hr 49min Teacher: Ted Petrou πŸ”— Courses link Learn to code for data analysis by OpenLearn ⏳ 8 weeks πŸ”— Course link Lecture notes from Statistical Thinking and Data Analysis by MIT πŸ”— Notes link Python for Data Analysis Rating ⭐️: 4.2 out of 5 Students πŸ‘¨β€πŸŽ“: 14,168 Duration ⏰: 1h 10min Teacher: Bob Wakefield πŸ”— Courses link Prepare data for analysis by Microsoft πŸ“2 modules Get data in Power BI - 12 Units Clean, transform, and load data in Power BI - 10 Units Duration ⏰: 3 hr 26 min πŸ”— 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 πŸ‘¨β€πŸ« Prof. Raghunandan Sengupta Each of 3 parts lasts ⏳12 weeks! #datanalysis #dataanalysis #datascience #powerbi #dataanalytics βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ