Details of certified courses covered by me. Includes notes and solutions to programming exercises.
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Updated
Oct 19, 2023 - MATLAB
Details of certified courses covered by me. Includes notes and solutions to programming exercises.
A fully connected multilayer feed-forward network
Task1 - data analysis & classification with multivariate Gaussian classifiers
Studying Machine Learning
Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA)
Implementation of various Machine Learning (ML) Algorithms learned in the Machine Learning course authorised by Stanford University @ Coursera
Exploring the Information Content of Glioma Differentiation using SDEs
A Code and Domain Independent Traitor Tracing System
Material from the course of Data Analysis at ENSEM - Université de Lorraine.
Sparse Principal Component Analysis via penalised matrix decomposition
My projects from the Stanford Machine Learning course offered on Coursera by Professor Andrew Ng.
working codes for the graded programming assignments of the machine learning course on coursera (instructor: andrew ng)
Assignments solved from https://www.coursera.org/learn/machine-learning
Exercises I solved for the Machine Learning course at Coursera by Andrew Ng.
The code for Roweisposes method for 3D action recognition
This repository holds my completed Octave/Matlab code for the exercises in the Stanford Machine Learning course, offered on the Coursera platform.
Principal Component Analysis to determine midden location with respect to paleo-shorelines
Machine Learning Algorithms for the programming tasks of Stanford online course from Andrew Ng on Coursera
Image compression using the K-means clustering algorithm | Dimensionality reduction using PCA
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