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 How to Perform Large Code Refactors in Cursor

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2026-01-20 | ⏱️ Read time: 10 min read

Learn how to perform code refactoring with LLMs

#DataScience #AI #Python
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πŸ™πŸ’Έ 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! πŸ™πŸ’Έ

Join our channel today for free! Tomorrow it will cost 500$!

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You can join at this link! πŸ‘†πŸ‘‡

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πŸ”₯ Trending Repository: Data-Science-For-Beginners

πŸ“ Description: 10 Weeks, 20 Lessons, Data Science for All!

πŸ”— Repository URL: https://github.com/microsoft/Data-Science-For-Beginners

πŸ“– Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme

πŸ“Š Statistics:
🌟 Stars: 31.9K stars
πŸ‘€ Watchers: 513
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πŸ’» Programming Languages: Jupyter Notebook

🏷️ Related Topics:
#python #data_science #pandas #data_visualization #data_analysis #microsoft_for_beginners


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🧠 By: https://t.iss.one/DataScienceM
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πŸ“Œ Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2026-01-21 | ⏱️ Read time: 11 min read

Google Trends is one of the most widely used tools for analysing human behaviour at…

#DataScience #AI #Python
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

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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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