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Data Science & Machine Learning

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Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

Network: Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertIndia3 821Education2 017...

📈 Analytical overview of Telegram channel Data Science & Machine Learning

Channel Data Science & Machine Learning (@datasciencefun) in the English language segment is an active participant. Currently, the community unites 77 621 subscribers, ranking 2 017 in the Education category and 3 821 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 77 621 subscribers.

According to the latest data from 13 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -142 over the last 30 days and by -20 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.37%. Within the first 24 hours after publication, content typically collects 1.01% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 843 views. Within the first day, a publication typically gains 781 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 learning, accuracy, distribution, panda, dataset.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data”

Thanks to the high frequency of updates (latest data received on 14 November, 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.

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77 621

Subscribers

-2024 hours

-957 days

-14230 days

1 843

Post views

~ 78124 hours

~ 1 05048 hours

2.37%

Engagement rate

~ 2

Posts per day

Ads index

Posts Archive

77 621

Artificial Neural Networks with Java

77 621

LinkedIn - Python for Data Science Essential Training Part 2.zip390.08 MB

77 621

🌐 Join the researchers and programmers channel (Courses, Books, Papere and Codes). t.me/DataScience_Books

77 621

Advanced ML with Python

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Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications - Laura Igual, Santi Segui (Springer, 2017)

77 621

What is unsupervised learning? Unsupervised learning aims to detect patterns in the data where no labels are given.

77 621

Tableau_Cheatsheet.pdf1.65 KB

77 621

git-cheat-sheet-education.pdf0.98 KB

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What are precision, recall, and F1-score? Precision and recall are classification evaluation metrics: P = TP / (TP + FP) and R = TP / (TP + FN). Where TP is true positives, FP is false positives and FN is false negatives In both cases the score of 1 is the best: we get no false positives or false negatives and only true positives. F1 is a combination of both precision and recall in one score (harmonic mean): F1 = 2 * PR / (P + R). Max F score is 1 and min is 0, with 1 being the best.

77 621

How NASA Auto Colourise Images with Deep Learning? Free Live Sessions on Aug 19th,20th @7.00pm IST Register here : https://bit.ly/2SLpFlw

77 621

Machine Learning God by Stefan Stavrev (version 2.0).pdf1.57 MB

77 621

Some useful Machine Learning projects for practice https://elitedatascience.com/machine-learning-projects-for-beginners https://hackernoon.com/top-5-machine-learning-projects-for-beginners-47b184e7837f https://www.springboard.com/blog/machine-learning-projects https://www.ubuntupit.com/top-20-best-machine-learning-projects-for-beginner-to-professional

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Learn how Amazon Optimise Delivery Routes using Genetic Algorithm 👇👇 https://bit.ly/3izxvZJ Free Live Session with Certificate

77 621

Some interview questions related to Data science 1- what is difference between structured data and unstructured data. 2- what is multicollinearity.and how to remove them 3- which algorithms you use to find the most correlated features in the datasets. 4- define entropy 5- what is the workflow of principal component analysis 6- what are the applications of principal component analysis not with respect to dimensionality reduction 7- what is the Convolutional neural network. Explain me its working

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🤓 Technical Python concepts tested in the data science job interviews are: - Data types. - Built-in data structures. - User-defined data structures. - Built-in functions. - Loops and conditionals. - External libraries (Pandas). Source Article: https://www.kdnuggets.com/2021/07/top-python-data-science-interview-questions.html

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What are the benefits of a single decision tree compared to more complex models? easy to implement fast training fast inference good explainability

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What are the decision trees? This is a type of supervised learning algorithm that is mostly used for classification problems. Surprisingly, it works for both categorical and continuous dependent variables. In this algorithm, we split the population into two or more homogeneous sets. This is done based on most significant attributes/ independent variables to make as distinct groups as possible. A decision tree is a flowchart-like tree structure, where each internal node (non-leaf node) denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (or terminal node) holds a value for the target variable. Various techniques : like Gini, Information Gain, Chi-square, entropy.

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What is feature selection? Why do we need it? Feature Selection is a method used to select the relevant features for the model to train on. We need feature selection to remove the irrelevant features which leads the model to under-perform.

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The session is going to go LIVE in 5 mins So join in now ! Link - https://youtu.be/a8lGmSLcfWU

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Do you want to Learn how to build a winning resume ? Learn the basics from an expert in our mentor conference 2021 Resume session today! Link to Join - https://youtu.be/a8lGmSLcfWU If you are interested in getting a certificate and resources then kindly register at www.foreignadmits.com/mentorconference2021 Note - Certificates will only be given to registered LIVE attendees See you at the mentor conference Join our community to get updates about other sessions - https://t.me/foreignadmits_community