Machine Learning
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Real Machine Learning — simple, practical, and built on experience.
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📌 The Machine Learning “Advent Calendar” Day 1: k-NN Regressor in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-01 | ⏱️ Read time: 16 min read

Kick off a Machine Learning Advent Calendar series with a practical guide to the k-NN regressor. This first installment demonstrates how to implement this fundamental, distance-based model using only Microsoft Excel. It's a great hands-on approach for understanding core ML concepts from scratch, without the need for a complex coding environment.

#MachineLearning #kNN #Excel #DataScience #Regression
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📌 The Machine Learning “Advent Calendar” Day 2: k-NN Classifier in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-02 | ⏱️ Read time: 9 min read

Discover how to implement the k-Nearest Neighbors (k-NN) classifier directly in Excel. This article, part of a Machine Learning "Advent Calendar" series, explores the popular classification algorithm along with its variants and improvements. It offers a practical, hands-on approach to understanding a fundamental ML concept within a familiar spreadsheet environment, making it accessible even without a dedicated coding setup.

#MachineLearning #kNN #Excel #DataScience
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📌 The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-03 | ⏱️ Read time: 10 min read

Day 3 of the Machine Learning "Advent Calendar" series explores Gaussian Naive Bayes (GNB), Linear Discriminant Analysis (LDA), and Quadratic Discriminant Analysis (QDA). This guide uniquely demonstrates how to implement these powerful classification algorithms directly within Excel, offering a practical, code-free approach. Learn the core concepts behind these models, transitioning from simple local distance metrics to a more robust global probability framework, making advanced statistical methods accessible to a wider audience.

#MachineLearning #Excel #DataScience #LDA #Statistics
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📌 The Machine Learning “Advent Calendar” Day 5: GMM in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-05 | ⏱️ Read time: 6 min read

Explore Gaussian Mixture Models (GMM), a powerful clustering algorithm that serves as a natural extension and improvement over k-Means. This guide, part of a Machine Learning Advent Calendar series, uniquely demonstrates how to implement and understand GMMs entirely within Microsoft Excel. It's a practical approach for grasping core ML concepts without requiring a dedicated coding environment, making advanced data science techniques more accessible.

#MachineLearning #GMM #Excel #DataScience #Clustering
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📌 The Machine Learning “Advent Calendar” Day 4: k-Means in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-04 | ⏱️ Read time: 7 min read

Discover how to implement the k-Means clustering algorithm, a fundamental machine learning technique, using only Microsoft Excel. This guide, part of a "Machine Learning Advent Calendar" series, walks through building a training algorithm from scratch in a familiar spreadsheet environment, demystifying what "real" ML looks like in practice.

#MachineLearning #kMeans #Excel #DataScience #Tutorial
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