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 India29 106 Technologies & Applications8 932...

📈 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 13 899 subscribers, ranking 8 932 in the Technologies & Applications category and 29 106 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 899 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 81 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 8.01%. Within the first 24 hours after publication, content typically collects 2.06% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 113 views. Within the first day, a publication typically gains 287 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 28 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.

13 899

Subscribers

+124 hours

-97 days

+8130 days

1 113

Post views

~ 28724 hours

~ 41048 hours

8.01%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

13 899

Why is Kafka Called Kafka❔ Here’s a fun fact that surprises a lot of people. The “Kafka” you use for real-time data pipelines is… named after the novelist Franz Kafka. Why? Jay Kreps (the creator) once explained it simply: - He liked the name. - It sounded mysterious. - And Kafka (the author) wrote a lot. That last part is key. Because Apache Kafka is all about writing: streams of events, logs, and data in motion. So the name stuck. Today, Millions of engineers across the globe talk about “Kafka” every single day… and most don’t realize they’re also invoking a 20th-century novelist. It's funny how small choices like naming your project can shape how the world remembers it.

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Cheatsheet: Bayes Theroem And Classifier

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Important LLM Terms 🔹 Transformer Architecture 🔹 Attention Mechanism 🔹 Pre-training 🔹 Fine-tuning 🔹 Parameters 🔹 Self-Attention 🔹 Embeddings 🔹 Context Window 🔹 Masked Language Modeling (MLM) 🔹 Causal Language Modeling (CLM) 🔹 Multi-Head Attention 🔹 Tokenization 🔹 Zero-Shot Learning 🔹 Few-Shot Learning 🔹 Transfer Learning 🔹 Overfitting 🔹 Inference 🔹 Language Model Decoding 🔹 Hallucination 🔹 Latency

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📚 Data Science Riddle In a medical diagnosis project, what's more important?

Anonymous voting

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Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

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ML models don’t all think alike 🤖 ❇️ Naive Bayes = probability ❇️ KNN = proximity ❇️ Discriminant Analysis = decision boundaries Different paths, same goal: accurate classification. Which one do you reach for first?

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📚 Data Science Riddle A dataset has 20% missing values in a critical column. What's the most practical choice?

Anonymous voting

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Introduction To Linear Regression

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SQL JOINS

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📚 Data Science Riddle Which Metric is best for imbalanced classification?

Anonymous voting

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Machine Learning Cheatsheet

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Most Common Data Science Skills in Job Posting

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📊 Infographic Elements That Every Data Person Should Master 🚀 After years of working with data, I can tell you one thing: 👉 The chart ou choose is as important as the data itself. Here’s your quick visual toolkit 👇 🔹 Timelines * Sequential ⏩ great for processes * Scaled ⏳ best for real dates/events 🔹 Circular Charts * Donut 🍩 & Pie 🥧 for proportions * Radial 🌌 for progress or cycles * Venn 🎯 when you want to show overlaps 🔹 Creative Comparisons * Bubble 🫧 & Area 🔵 for impact by size * Dot Matrix 🔴 for colorful distributions * Pictogram 👥 when storytelling matters most 🔹 Classic Must-Haves * Bar 📊 & Histogram 📏 (clear, reliable) * Line 📈 for trends * Area 🌊 & Stacked Area for the “big picture” 🔹 Advanced Tricks * Stacked Bar 🏗 when categories add up * Span 📐 for ranges * Arc 🌈 for relationships 💡 Pro tip from experience: If your audience doesn’t “get it” in 3 seconds, change the chart. The best visualizations speak louder than numbers

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INFOGRAPHIC ELEMENTS

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📚 Data Science Riddle Why does bagging reduce variance?

Anonymous voting

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Big Data 5V

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Great Packages for R

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📚 Data Science Riddle Which algorithm is most sensitive to feature scaling?

Anonymous voting

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The RAG Developer Stack 2025 - Build Intelligent Al That Thinks, Remembers & Acts

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Data Structures in R