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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๐Ÿ“Œ The Machine Learning โ€œAdvent Calendarโ€ Day 15: SVM in Excel

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-12-15 | โฑ๏ธ Read time: 12 min read

Instead of starting with margins and geometry, this article builds the Support Vector Machine stepโ€ฆ

#DataScience #AI #Python
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๐Ÿ“Œ When (Not) to Use Vector DB

๐Ÿ—‚ Category: LARGE LANGUAGE MODELS

๐Ÿ•’ Date: 2025-12-16 | โฑ๏ธ Read time: 8 min read

When indexing hurts more than it helps: how we realized our RAG use case neededโ€ฆ

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๐Ÿ“Œ Separate Numbers and Text in One Column Using Power Query

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-12-16 | โฑ๏ธ Read time: 6 min read

An Excel sheet with a column containing numbers and text? What a mess!

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๐Ÿ“Œ The Machine Learning โ€œAdvent Calendarโ€ Day 16: Kernel Trick in Excel

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-12-16 | โฑ๏ธ Read time: 8 min read

Kernel SVM often feels abstract, with kernels, dual formulations, and support vectors. In this article,โ€ฆ

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๐Ÿ“Œ Lessons Learned After 8 Years of Machine Learning

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-12-16 | โฑ๏ธ Read time: 7 min read

Deep work, over-identification, sports, and blogging

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๐Ÿ“Œ A Practical Toolkit for Time Series Anomaly Detection, Using Python

๐Ÿ—‚ Category: DATA SCIENCE

๐Ÿ•’ Date: 2025-12-17 | โฑ๏ธ Read time: 9 min read

Hereโ€™s how to detect point anomalies within each series, and identify anomalous signals across theโ€ฆ

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๐Ÿ“Œ The Machine Learning โ€œAdvent Calendarโ€ Day 17: Neural Network Regressor in Excel

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-12-17 | โฑ๏ธ Read time: 7 min read

Neural networks often feel like black boxes. In this article, we build a neural networkโ€ฆ

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๐Ÿ“Œ Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2025-12-17 | โฑ๏ธ Read time: 12 min read

LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems

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๐Ÿ“Œ 3 Techniques to Effectively Utilize AI Agents for Coding

๐Ÿ—‚ Category: LLM APPLICATIONS

๐Ÿ•’ Date: 2025-12-17 | โฑ๏ธ Read time: 8 min read

Learn how to be an effective engineer with coding agents

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๐Ÿ“Œ 4 Ways to Supercharge Your Data Science Workflow with Google AI Studio

๐Ÿ—‚ Category: LLM APPLICATIONS

๐Ÿ•’ Date: 2025-12-18 | โฑ๏ธ Read time: 11 min read

With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicateโ€ฆ

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๐Ÿ“Œ The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs

๐Ÿ—‚ Category: ALGORITHMS

๐Ÿ•’ Date: 2025-12-18 | โฑ๏ธ Read time: 31 min read

An optimal solution to the well-known NP-complete problem, when the input values are close enoughโ€ฆ

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๐Ÿ“Œ Generating Artwork in Python Inspired by Hirstโ€™s Million-Dollar Spots Painting

๐Ÿ—‚ Category: PROGRAMMING

๐Ÿ•’ Date: 2025-12-18 | โฑ๏ธ Read time: 6 min read

Using Python to generate art

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๐Ÿ“Œ The Machine Learning โ€œAdvent Calendarโ€ Day 18: Neural Network Classifier in Excel

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-12-18 | โฑ๏ธ Read time: 12 min read

Understanding forward propagation and backpropagation through explicit formulas

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๐Ÿ“Œ The Machine Learning โ€œAdvent Calendarโ€ Day 19: Bagging in Excel

๐Ÿ—‚ Category: MACHINE LEARNING

๐Ÿ•’ Date: 2025-12-19 | โฑ๏ธ Read time: 11 min read

Understanding ensemble learning from first principles in Excel

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๐Ÿ“Œ Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)

๐Ÿ—‚ Category: AGENTIC AI

๐Ÿ•’ Date: 2025-12-19 | โฑ๏ธ Read time: 27 min read

Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering andโ€ฆ

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