Machine Learning

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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 352...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 205 subscribers, ranking 3 352 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 40 205 subscribers.

According to the latest data from 02 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 343 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.99%. Within the first 24 hours after publication, content typically collects 2.28% reactions from the total number of subscribers.
Post reach: On average, each post receives 800 views. Within the first day, a publication typically gains 915 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 03 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.

40 205

Subscribers

+1024 hours

+837 days

+34330 days

800

Post views

~ 91524 hours

~ 1 23548 hours

1.99%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 206

📌 Bayesian Linear Regression: A Complete Beginner’s guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 11 min read A workflow and code walkthrough for building a Bayesian regression model in STAN

40 206

📌 Build a Tokenizer for the Thai Language from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-14 | ⏱️ Read time: 16 min read A step-by-step guide to building a Thai multilingual sub-word tokenizer based on a BPE algorithm…

40 206

“I never thought I’d get access to the entire CEH v13 course… for FREE. Everyone told me, ‘That’s impossible!’ But now I’m already learning secrets even pros don’t share. Curious what’s really inside? Check it out here before it disappears. #ad InsideAds

40 206

📌 A Powerful Feature for Boosting Python Code Efficiency and Streamlining Complex Workflows 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 10 min read All you need to know about Python loops

40 206

📌 Applications of Rolling Windows for Time Series, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 12 min read Here’s some powerful applications of Rolling Windows and Time Series

40 206

📌 Introducing NumPy, Part 3: Manipulating Arrays 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-15 | ⏱️ Read time: 7 min read Shaping, transposing, joining, and splitting arrays

40 206

📌 OpenAI o1: Is This the Enigmatic Force That Will Reshape Every Knowledge Sector We Know? 🗂 Category: CHATGPT 🕒 Date: 2024-09-16 | ⏱️ Read time: 7 min read My first encounters with the o1 model

40 206

📌 ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-16 | ⏱️ Read time: 38 min read Automated data analysis made easy: The first version of ASCVIT the tool for statistical calculation,…

40 206

📌 What Makes a Great Data Business 🗂 Category: BUSINESS 🕒 Date: 2024-09-16 | ⏱️ Read time: 8 min read Including an easy-to-use data business evaluation cheat sheet

40 206

📌 Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-10-01 | ⏱️ Read time: 18 min read Comparing model-free and model-based RL methods on a dynamic grid world

40 206

📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read Fast Dataframes for Big Problems

40 206

Our paid channel contains more than 9000 books and 500 paid courses With a $3 monthly subscription, you can cancel whenever you want https://t.me/+r_Tcx2c-oVU1OWNi

40 206

📌 Building RAGs Without A Retrieval Model Is a Terrible Mistake 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-17 | ⏱️ Read time: 10 min read Here are my favorite techniques – one is faster, the other is more accurate.

40 206

📌 The Mystery Behind the PyTorch Automatic Mixed Precision Library 🗂 Category: DEEP LEARNING 🕒 Date: 2024-09-17 | ⏱️ Read time: 9 min read How to get 2X speed up model training using three lines of code

40 206

Ever wonder how real traders grow $1,000 into proven profits—step by step, with full transparency? Elite Gold Trading opens the door to professional copytrading, verified results, and exclusive strategies you can follow today. New members get a 100% deposit bonus—start with a real edge from day one. Ready to see how the pros do it? Join now & claim your bonus before this offer ends! #ad InsideAds

40 206

📌 Introduction to Maximum Likelihood Estimates 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Learn about Maximum Likelihood Estimates via their application for next-word prediction

40 206

📌 Unlocking Business Potential Through Effective Customer Segmentation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 9 min read Transform your data into actionable insights with customer segmentation for improved engagement and profitability

40 206

📌 Asking for Feedback as a Data Scientist Individual Contributor 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-18 | ⏱️ Read time: 17 min read Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you…

40 206

📌 Under the Hood: How DAX Works with Filters 🗂 Category: POWER BI 🕒 Date: 2025-10-01 | ⏱️ Read time: 6 min read Have you ever wondered how DAX works with filters in Measures? Today, I take a…

40 206

📌 Visual Pollen Classification Using CNNs and Vision Transformers 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-10-01 | ⏱️ Read time: 19 min read Filling the data gap: A machine learning approach to pollen identification in ecology and biotechnology