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 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 40 208 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 40 208 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.

40 208

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

40 208

📌 Journey of an unlikely entrepreneur 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 10 min read Developing an oceanographic application for big game fishing

40 208

📌 My 7 Sources of Income as a Data Scientist 🗂 Category: CODING 🕒 Date: 2024-10-01 | ⏱️ Read time: 8 min read All the ways I make money as a practising data scientist

40 208

📌 Under-trained and Unused tokens in Large Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 8 min read Existence of under-trained and unused tokens and Identification Techniques using GPT-2 Small as an Example

40 208

📌 P-Companion: Amazon’s Principled Framework for Diversified Complementary Product Recommendation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 12 min read A Deep Dive into Amazon’s Complementary Product Recommendation Framework

40 208

📌 Beyond the Hype: When Generative AI Isn’t Always the Answer 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 9 min read Why predictive AI might still be your best bet

40 208

📌 Statistical Analysis on Scoring Bias 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 22 min read In the 2024 Argentine Tango World Championship

40 208

📌 TSV in Pandas: A How-To Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 6 min read The Correct Way of Loading and Writing TSV Files with Pandas

40 208

📌 Could Conversational AI-Driven Data Analytics Finally Solve the Data Democratization Riddle? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 8 min read A Data Leader’s Realistic Assessment

40 208

📌 Finding My AI Coding Assistant: Why Codeium Wins Over Copilot 🗂 Category: CODING 🕒 Date: 2024-10-01 | ⏱️ Read time: 11 min read It’s easy to install, it’s context-aware, and it’s free. For me, it beats Copilot.

40 208

📌 Geographic Position Encoders 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-01 | ⏱️ Read time: 12 min read Understanding modern techniques for encoding geographic coordinates in a neural network

40 208

📌 How to Calculate a Moving Average Over Multiple Periods in DAX 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 7 min read Calculating a moving Aggregation is easy in DAX. However, there are some pitfalls when calculating…

40 208

📌 Consent in Training AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 12 min read Should you have control over whether information about you gets used in training generative AI?

40 208

📌 The Comprehensive Guide to Training and Running YOLOv8 Models on Custom Datasets 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 18 min read It’s now easier than ever to train your own computer vision models on custom datasets…

40 208

📌 Eulerian Melodies: Graph Algorithms for Music Composition 🗂 Category: GRAPH THEORY 🕒 Date: 2025-09-28 | ⏱️ Read time: 15 min read Conceptual overview and an end-to-end Python implementation

40 208

📌 How to Stay Relevant as a Software Developer 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 6 min read We’re Drowning in AI… Now What?

40 208

📌 Three Steps to Identify Your Business’s Silver Bullets for Success 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 6 min read Discover how identifying early customer behaviors can predict long-term retention and increase revenue for your…

40 208

📌 What Makes a True AI Agent? Rethinking the Pursuit of Autonomy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-02 | ⏱️ Read time: 14 min read Unpacking the six core traits of AI agents and why foundations matter more than buzzwords

40 208

📌 Time Complexity Analysis of Perfect Binary Tree Traversal 🗂 Category: MATHEMATICS 🕒 Date: 2024-10-03 | ⏱️ Read time: 34 min read Deriving the tightest asymptotic bound of a particular tree traversal algorithm

40 208

📌 Time Series – ARIMA vs. SARIMA vs. LSTM: Hands-On Tutorial 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 16 min read Let’s forecast the future step by step

40 208

📌 How to Calculate the Elasticity of Bids in PPC Marketing 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-03 | ⏱️ Read time: 10 min read Elasticity of prices is the bread and butter of econometrics. But, how can we apply…