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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πŸ“Œ If You Want to Become a Data Scientist in 2026, Do This

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-21 | ⏱️ Read time: 10 min read

Learn from my mistakes and fast track your data science career

#DataScience #AI #Python
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πŸ“Œ Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2026-01-21 | ⏱️ Read time: 8 min read

How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird…

#DataScience #AI #Python
Guide to AI Coding Agents & Assistants: How to Choose the Right One

There are now so many AI tools for coding that it can be confusing to know which one to pick. Some act as simple helpers (Assistant), while others can do the work for you (Agent). This guide breaks down the top AI coding tools that you should be aware of. We will look at what they do, who they are for, and how much they cost.

Read: https://habr.com/en/articles/979402/

https://t.iss.one/DataScienceM
πŸ“Œ A Case for the T-statistic

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-21 | ⏱️ Read time: 21 min read

And how it compares to the run-of-the-mill z-score

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πŸ“Œ Evaluating Multi-Step LLM-Generated Content: Why Customer Journeys Require Structural Metrics

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-22 | ⏱️ Read time: 13 min read

How to evaluate goal-oriented content designed to build engagement and deliver business results, and why…

#DataScience #AI #Python
πŸ“Œ Why SaaS Product Management Is the Best Domain for Data-Driven Professionals in 2026

πŸ—‚ Category: PRODUCT MANAGEMENT

πŸ•’ Date: 2026-01-22 | ⏱️ Read time: 14 min read

How I use analytics, automation, and AI to build better SaaS

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πŸ“Œ Stop Writing Messy Boolean Masks: 10 Elegant Ways to Filter Pandas DataFrames

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-22 | ⏱️ Read time: 7 min read

Master the art of readable, high-performance data selection using .query(), .isin(), and advanced vectorized logic.

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πŸ“Œ What Other Industries Can Learn from Healthcare’s Knowledge Graphs

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-22 | ⏱️ Read time: 11 min read

How shared meaning, evidence, and standards create durable semantic infrastructure

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πŸ“Œ Optimizing Data Transfer in Distributed AI/ML Training Workloads

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 15 min read

A deep dive on data transfer bottlenecks, their identification, and their resolution with the help…

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πŸ“Œ Achieving 5x Agentic Coding Performance with Few-Shot Prompting

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 9 min read

Learn to leverage few-shot prompting to increase your LLMs performance

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πŸ“Œ Why the Sophistication of Your Prompt Correlates Almost Perfectly with the Sophistication of the Response, as Research by Anthropic Found

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 9 min read

How prompt engineering has evolved, examined scientifically; and implications for the future of conversational AI…

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πŸ“Œ From Transactions to Trends: Predict When a Customer Is About to Stop Buying

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-23 | ⏱️ Read time: 7 min read

Customer churn is usually a gradual process, not a sudden event. In this post, we…

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πŸ“Œ How to Build a Neural Machine Translation System for a Low-Resource Language

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2026-01-24 | ⏱️ Read time: 15 min read

An introduction to neural machine translation

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πŸ“Œ Air for Tomorrow: Mapping the Digital Air-Quality Landscape, from Repositories and Data Types to Starter Code

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-24 | ⏱️ Read time: 25 min read

Understand air quality: access the available data, interpret data types, and execute starter codes

#DataScience #AI #Python