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 Syria227 Technologies & Applications3 343...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 255 subscribers, ranking 3 343 in the Technologies & Applications category and 227 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 255 subscribers.

According to the latest data from 06 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 336 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.25%. Within the first 24 hours after publication, content typically collects 1.88% reactions from the total number of subscribers.
Post reach: On average, each post receives 906 views. Within the first day, a publication typically gains 758 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 07 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.

40 255

Subscribers

-424 hours

+917 days

+33630 days

906

Post views

~ 75824 hours

~ 1 03748 hours

2.25%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 255

📌 AI, My Holiday Elf: Building a Gift Recommender for the Perfect Christmas 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-08 | ⏱️ Read time: 9 min read How I used AI and Streamlit to create a festive and fun gift recommendation app

40 255

📌 Streamline Your Workflow when Starting a New Research Paper 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-08 | ⏱️ Read time: 6 min read Python code to create folders and Word documents for research papers in biomedical sciences -…

40 255

📌 Unlocking Hidden Potential: Exploring Second-Round Purchasers 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-09 | ⏱️ Read time: 15 min read Finding customer segments for optimal retargetting using LLM embeddings and ML model

40 255

📌 Accusatory AI: How a Widespread Misuse of AI Technology Is Harming Students 🗂 Category: 🕒 Date: 2024-12-09 | ⏱️ Read time: 8 min read What should be done when an AI accuses a student of misconduct by using AI?

40 255

📌 Can LLMs talk SQL, SPARQL, Cypher, and MongoDB Query Language (MQL) equally well? 🗂 Category: 🕒 Date: 2024-12-09 | ⏱️ Read time: 9 min read Comparing Text-to-Query capabilities of Large Language Models (LLMs) for four different Query Language

40 255

📌 Why Data Scientists Need These Software Engineering Skills 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-09 | ⏱️ Read time: 6 min read Learn these things to become a more well-rounded data scientist

40 255

📌 Here’s What I Learned About Information Theory Through Wordle 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-09 | ⏱️ Read time: 8 min read The Science Behind Better Guesses

40 255

📌 Extracting Structured Vehicle Data from Images 🗂 Category: 🕒 Date: 2025-01-27 | ⏱️ Read time: 10 min read Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…

40 255

📌 Learnings from a Machine Learning Engineer — Part 2: The Data Sets 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-13 | ⏱️ Read time: 10 min read In Part 1, we discussed the importance of collecting good image data and assigning proper labels…

40 255

📌 Uncertainty Quantification in Time Series Forecasting 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-09 | ⏱️ Read time: 12 min read A deep dive into EnbPI, a Conformal Prediction approach for time series forecasting

40 255

📌 The Case Against Centralized Medallion Architecture 🗂 Category: 🕒 Date: 2024-12-09 | ⏱️ Read time: 10 min read Why tailored, decentralized data quality trumps the medallion architecture

40 255

📌 Probability Distributions: Poisson vs. Binomial Distribution 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 11 min read Using Soccer to Understand the Difference Between Poisson & Binomial: Probability for Data Science Series…

40 255

📌 ML Beginners Should Read Papers 🗂 Category: DEEP LEARNING 🕒 Date: 2024-12-10 | ⏱️ Read time: 4 min read Here’s why and how

40 255

📌 Predicted Probability, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-12-10 | ⏱️ Read time: 18 min read 7 basic classifiers reveal their prediction confidence math

40 255

📌 Synthetic Data in Practice: A Shopify Case Study 🗂 Category: 🕒 Date: 2024-12-10 | ⏱️ Read time: 15 min read Testing new Snowflake functionality with a 30k records dataset

40 255

📌 OpenAI Prompt Cache Monitoring 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 10 min read A worked example using Python and the chat completion API

40 255

📌 Nobel Prizes 2024: AI Breakthroughs Win Big 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 8 min read Lessons Learned After the AI Nobel Debate

40 255

📌 Awesome Plotly with Code Series (Part 5): The Order in Bar Charts Matters 🗂 Category: DATA SCIENCE 🕒 Date: 2024-12-10 | ⏱️ Read time: 10 min read And it is not always simply ordering by highest to lowest

40 255

📌 Missing Data in Time-Series: Machine Learning Techniques 🗂 Category: 🕒 Date: 2024-12-10 | ⏱️ Read time: 15 min read Part 1: Leverage linear regression and decision trees to impute time-series gaps.

40 255

📌 How I’d Learn Machine Learning Again, After 6 Years 🗂 Category: CODING 🕒 Date: 2024-12-11 | ⏱️ Read time: 7 min read Some rough guidelines