Machine Learning course from Stanford University on Coursera. function J = computeCost(X, y, theta) # Initialize some useful values m = length(y); # number of training examples # You need to return ...

All examples were written in MATLAB. Methods and data mainly follow the Machine Learning course assignments on Coursera. Codes are rewritten and organised in terms of methology and applications.

Practical examples and exercises help learners apply concepts to real-world projects Updated 2025 editions ensure relevance for modern science, engineering, and research tasks MATLAB is used ...

In Part 1 of our series, we revisit multiple linear regression for time series data using credit default rates and macro predictors. See how classical linear model assumptions, ordinary least squares, ...

The Three Common Types of Regularization 1️⃣ Ridge Regression Best when you believe all predictors contribute information. Ridge shrinks coefficients toward zero but never removes them entirely. 2️⃣ ...