Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 How I Automated My Machine Learning Workflow with Just 10 Lines of Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-06 | ⏱️ Read time: 4 min read

Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.
📌 The Role of Luck in Sports: Can We Measure It?

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-06 | ⏱️ Read time: 8 min read

From last-minute goals to coin tosses: How much does randomness influence the outcomes of games?
📌 Why AI Projects Fail

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-06 | ⏱️ Read time: 7 min read

No one agrees on the exact number, but estimates say anywhere from 50% to 80%…
📌 5 Crucial Tweaks That Will Make Your Charts Accessible to People with Visual Impairments

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-06-06 | ⏱️ Read time: 13 min read

More than 350 million people are colorblind – Make sure they can read your visualizations.
📌 Get Ready for Your Next Career Move

🗂 Category: THE VARIABLE

🕒 Date: 2025-06-05 | ⏱️ Read time: 3 min read

Are you planning to switch roles in the near future? On the lookout for your…
📌 The Journey from Jupyter to Programmer: A Quick-Start Guide

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-04 | ⏱️ Read time: 17 min read

Explore the real benefits of ditching the notebook
📌 LangChain for EDA: Build a CSV Sanity-Check Agent in Python

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-09 | ⏱️ Read time: 19 min read

A practical LangChain tutorial for data scientists to inspect CSVs
📌 How to Build Effective AI Agents to Process Millions of Requests

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-09 | ⏱️ Read time: 9 min read

Learn how to build production ready systems using AI agents
📌 The Hungarian Algorithm and Its Applications in Computer Vision

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-09-09 | ⏱️ Read time: 9 min read

Introduction Multi-object tracking (MOT) is a task in which an algorithm must detect and track…
📌 LangGraph 201: Adding Human Oversight to Your Deep Research Agent

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-09 | ⏱️ Read time: 23 min read

Losing control of your AI agent in the middle of the workflow is a common…
📌 Exploring Merit Order and Marginal Abatement Cost Curve in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-09 | ⏱️ Read time: 11 min read

To achieve the global temperature limit goals of 1.5°C by the end of the century…
📌 Building a Modern Dashboard with Python and Gradio

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-04 | ⏱️ Read time: 13 min read

Data insights made simple
📌 Data Drift Is Not the Actual Problem: Your Monitoring Strategy Is

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-03 | ⏱️ Read time: 11 min read

Monitoring is easy; what to monitor is not. In the field of machine learning, data…
📌 Reducing Time to Value for Data Science Projects: Part 2

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-03 | ⏱️ Read time: 11 min read

Leveraging automation and parallelism to scale out experiments
📌 Pairwise Cross-Variance Classification

🗂 Category: COMPUTER VISION

🕒 Date: 2025-06-03 | ⏱️ Read time: 10 min read

Multi-class zero-shot embedding classification and error checking
📌 Landing your First Machine Learning Job: Startup vs Big Tech vs Academia

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-06-03 | ⏱️ Read time: 22 min read

A practical guide to landing your first Machine Learning job across startups, big tech, and…
📌 Decision Trees Natively Handle Categorical Data

🗂 Category: DATA SCIENCE

🕒 Date: 2025-06-03 | ⏱️ Read time: 6 min read

But mean target encoding is their turbocharger
📌 How to Design My First AI Agent

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-03 | ⏱️ Read time: 10 min read

The foundations of designing an AI agent
📌 LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-06-02 | ⏱️ Read time: 11 min read

Local Large Language Models can convert massive DataFrames to presentable Markdown reports — here’s how.
📌 Vision Transformer on a Budget | DeiT

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-02 | ⏱️ Read time: 20 min read

Understanding how DeiT works via knowledge distillation —and how to implement it with PyTorch
📌 Inside Google’s Agent2Agent (A2A) Protocol: Teaching AI Agents to Talk to Each Other

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-06-02 | ⏱️ Read time: 26 min read

Exploring how Google’s A2A enables plug-and-play communication between LLM-powered agents across frameworks