Recent Posts
Feature Engineering: Making Data Understandable for Machines
November 25, 2025
A user-friendly guide to feature engineering, explaining why features matter, how to design them thoughtfully, and what can go wrong if you ignore them, with practical examples.
Metrics Beyond Accuracy: Measuring What Actually Matters
November 23, 2025
A practical, real-world guide to machine learning evaluation metrics, explaining why accuracy and R²...
Why Overfitting Is the Real Enemy of Machine Learning
November 17, 2025
An in-depth, intuitive explanation of overfitting in machine learning, exploring why high accuracy can...
Why AI Models Fail in the Real World
November 14, 2025
An in-depth, practical discussion of why machine learning models that perform well in development...
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Agentic AI: From Passive Models to Autonomous Systems
November 10, 2025
An educational overview of Agentic AI, explaining how autonomous AI systems differ from traditional models, how...
A Beginner’s Guide to Agentic AI
November 09, 2025
An informative introduction to agentic AI, explaining its architecture, core components, and how autonomous AI systems...
Medical AI: Models, Data, and Evaluation in High-Risk Systems
November 06, 2025
A structured overview of medical AI systems, covering model types, data challenges, evaluation metrics, and the...
Why Governments Care About AI: Compute, Data, and Talent
November 06, 2025
An explanatory look at why AI has become a national priority, focusing on the strategic importance...
K-Nearest Neighbors (KNN) — Part 1: Classification
October 05, 2025
Introductory guide to K-Nearest Neighbors for classification with code and intuition.
A Beginner’s Guide to Elastic Net Regression (L1 + L2 Regularization)
October 04, 2025
Elastic Net combines L1 and L2 penalties. Learn what Elastic Net is, why it helps, and...
A Beginner’s Guide to Lasso Regression (L1 Regularization)
October 03, 2025
Learn what Lasso Regression is, why it matters, and how it works step by step with...
A Beginner’s Guide to Ridge Regression (L2 Regularization)
October 02, 2025
Learn Ridge Regression (L2 regularization) step by step with beginner-friendly explanations, manual calculations, derivations, Python code,...
A Beginner’s Guide to Residual Sum of Squares (RSS)
October 02, 2025
Learn what Residual Sum of Squares is, how it measures the difference between predicted and actual...
A Beginner’s Guide to Mean Absolute Error (MAE)
October 01, 2025
Learn Mean Absolute Error (MAE) with beginner-friendly guide to understand error metrics in machine learning and...
A Beginner’s Guide to R-Squared (R²)
October 01, 2025
Understand R Squared, the coefficient of determination, and discover how it explains the proportion of variance...
A Beginner’s Guide to Root Mean Squared Error (RMSE)
September 29, 2025
Explore Root Mean Squared Error, its formula and interpretation, and see why it is one of...
Multiple Linear Regression Model
August 26, 2024
A step by step explanation of multiple linear regression, covering the method, interpretation of coefficients, and...
Simple Linear Regression Model
August 25, 2024
An introduction to simple linear regression that explains how the model works, its assumptions, and how...