Machine learning problem sets from Stanford University's Machine Learning course on Coursera
-
Updated
Dec 18, 2022 - MATLAB
Machine learning problem sets from Stanford University's Machine Learning course on Coursera
Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch
Contains code and detailed write ups created while taking a class on Data Driven Modeling & Scientific Computation with Professor Nathan Kutz.
Course work of Multivariate data analysis CH5440
Machine Learning Course taught by Andrew Ng.
Collection of machine learning projects implemented using MATLAB
MATLAB-based logistic regression model trainer for peripheral venous pressure (PVP) waveforms (Example Dataset: Dehydrated and Hydrated Infants)
Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020
All the graded assignments of the course
Add a description, image, and links to the principle-component-analysis topic page so that developers can more easily learn about it.
To associate your repository with the principle-component-analysis topic, visit your repo's landing page and select "manage topics."