Machine Learning

Open in Telegram

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Network:Machine Learning with Python Syria228 Technologies & Applications3 344...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 221 subscribers, ranking 3 344 in the Technologies & Applications category and 228 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 221 subscribers.

According to the latest data from 03 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 338 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.04%. Within the first 24 hours after publication, content typically collects 2.42% reactions from the total number of subscribers.
Post reach: On average, each post receives 822 views. Within the first day, a publication typically gains 973 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 distance, insidead, gpu, learning, degree.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 04 July, 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.

40 221

Subscribers

+924 hours

+727 days

+33830 days

822

Post views

~ 97324 hours

~ 1 32148 hours

2.04%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 227

📌 Universal Data Supply: Know Your Business 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-22 | ⏱️ Read time: 10 min read An industry example to emphasize the importance of understanding your business case

40 227

📌 Image Data Collection for Climate Change Analysis 🗂 Category: CLIMATE CHANGE 🕒 Date: 2024-10-22 | ⏱️ Read time: 9 min read A beginner’s guide

40 227

📌 Comprehensive Guide to Crafting a Perfect CV in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-22 | ⏱️ Read time: 22 min read Impress recruiters and land your dream job by creating a standout resume

40 227

📌 An Introduction to Using PCA for Outlier Detection 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-22 | ⏱️ Read time: 18 min read A surprisingly effective means to identify outliers in numeric data

40 227

📌 Mastering Back-of-the-Envelope Math Will Make You a Better Data Scientist 🗂 Category: ANALYTICS 🕒 Date: 2024-10-23 | ⏱️ Read time: 14 min read A quick and dirty answer is often more helpful than a fancy model

40 227

📌 ML Metamorphosis: Chaining ML Models for Optimized Results 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-23 | ⏱️ Read time: 8 min read The universal principle of knowledge distillation, model compression, and rule extraction

40 227

📌 Time Series – From Analyzing the Past to Predicting the Future 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-23 | ⏱️ Read time: 22 min read How to learn from the past with time series.

40 227

📌 How AlphaFold 3 Is Like DALLE 2 and Other Learnings 🗂 Category: 🕒 Date: 2024-10-24 | ⏱️ Read time: 7 min read Understanding AI applications in bio for machine learning engineers

40 227

📌 Are you Aware of the Potential of Your Data Expertise in Driving Business Profitability? 🗂 Category: ANALYTICS 🕒 Date: 2024-10-24 | ⏱️ Read time: 12 min read A reflection of a supply chain data scientist who randomly discovered the power of data…

40 227

📌 Transforming Data Quality: Automating SQL Testing for Faster, Smarter Analytics 🗂 Category: SQL 🕒 Date: 2024-10-26 | ⏱️ Read time: 13 min read How to test the quality of SQL and resultant dataset against the business question to…

40 227

📌 Awesome Plotly with Code Series (Part 2): Colouring Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-26 | ⏱️ Read time: 10 min read Don’t create a rainbow coloured bar chart. But don’t make your bar charts boring either

40 227

📌 Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-26 | ⏱️ Read time: 11 min read Artificially generating and deleting data for the greater good

40 227

📌 Gen-AI Safety Landscape: A Guide to the Mitigation Stack for Text-to-Image Models 🗂 Category: 🕒 Date: 2024-10-26 | ⏱️ Read time: 15 min read No Wild West for AI: A tour of the safety components that tame T2I models

40 227

📌 Learnings from My First Year of Being a Data Analyst 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-26 | ⏱️ Read time: 7 min read Insights on dealing with statistics, interacting with people, and maximizing productivity at the workplace

40 227

📌 Untangling AI systems 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-26 | ⏱️ Read time: 16 min read How physics can help us understand neural networks

40 227

📌 Understanding K-Fold Target Encoding to Handle High Cardinality 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-10-26 | ⏱️ Read time: 7 min read Balancing complexity and performance: An in-depth look at K-fold target encoding

40 227

📌 Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them) 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-23 | ⏱️ Read time: 22 min read Are “quasi” geo-lift experiments the missing piece for your marketing science function?

40 227

📌 Generative AI Myths, Busted: An Engineers’s Quick Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-23 | ⏱️ Read time: 11 min read A super simple and quick guide to how generative AI works, the myths around it,…

40 227

📌 The Art of Asking Good Questions 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-23 | ⏱️ Read time: 7 min read As a data scientist, are you driving product decisions? Or just supporting them? The right…

40 227

📌 Generating Consistent Imagery with Gemini 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-09-23 | ⏱️ Read time: 19 min read A practical guide to building a prompt-based generation pipeline for your image library