Machine Learning & Artificial Intelligence | Data Science Free Courses

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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

Network:Data Analytics Malaysia431 Education2 446...

📈 Analytical overview of Telegram channel Machine Learning & Artificial Intelligence | Data Science Free Courses

Channel Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) in the English language segment is an active participant. Currently, the community unites 66 762 subscribers, ranking 2 446 in the Education category and 431 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 66 762 subscribers.

According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 519 over the last 30 days and by 31 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 0.76%. Within the first 24 hours after publication, content typically collects 0.78% reactions from the total number of subscribers.
Post reach: On average, each post receives 510 views. Within the first day, a publication typically gains 524 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
Thematic interests: Content is focused on key topics such as sellerflash, waybienad, pricing, buybox, buyer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun”

Thanks to the high frequency of updates (latest data received on 26 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 Education category.

66 762

Subscribers

+3124 hours

+797 days

+51930 days

510

Post views

~ 52424 hours

~ 74548 hours

0.76%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

66 762

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Repost from Artificial Intelligence

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HANDSON_DATA_SCIENCE_AND_PYTHON_MACHINE_LEARNING_@computer_books.pdf17.56 MB

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Data Science Tools Christopher Greco, 2020

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I often get asked- what's the BEST Certification for #datascience or #machinelearning? 👉My answer is: none The reality is that certification don't matter for data science. This is not commerce. we are not using the same techniques over and over again to solve well-defined problems. The problems are challenging, the data is messy and numerous techniques are used. So if you've wondering which certification you should get, Save yourself,some mental energy and stop thinking about it- they are not really matter. 👉 Instead, grab a dataset and start playing with it. 👉 Start applying what you know and trying to solve interesting problems, learn something new every day. 👉 Here are few places to grab datasets to get you started Google: https://toolbox.google.com/datasetsearch Kaggle: https://www.kaggle.com/datasets US Government Dataset: www.data.gov Quandl: https://www.quandl.com/ UCI ML repo: http://mlr.cs.umass.edu/ml/datasets.html World Bank🏦: https://data.worldbank.org/

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Machine learning types

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New developers: whenever you work on something interesting, write it down in a document which you keep updating. This will be very helpful when you need to create a resume or have to talk about your achievements in an interview. (Or for college essays.) I can guarantee you that if you don't do this, you will forget half the interesting things you've done; and for a majority of us, our brains are experts in convincing us that we haven't really done anything interesting.

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Machine Learning Algorithm cheat sheet

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