Practical assignments from Machine Learning course from Coursera (prof. Andrew Ng)
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Updated
Oct 9, 2020 - MATLAB
Practical assignments from Machine Learning course from Coursera (prof. Andrew Ng)
My submissions & learning notes for Coursera's "Machine Learning" course (Updated 2022).
CS3IA16: Image Analysis
Group Assignment based upon a pedestrian detector for the Visual Analytics course at Queen's University Belfast.
3rd year computer vision coursework - visual search system and report. Achieved 100%
My course-era work on Machine Learning course by Andrew NG, Stanford University.
Wearable Technologies coursework assignment
Slides and Exercises from Coursera's Machine Learning course
Coursework for Simulation Systems course 2018
CS3IA16: Image Analysis
Coursework from Olin's Modeling and Simulation of the Physical World course.
Source code for the Neuroinformatics course at UCL, in Octave and Python
Coursera Machine Learning Homework Programming Language: Octave Professor: Andrew Ng
Mathematical Foundation of Computer Graphics & Vision (Spring 2017) @ ETH
Coursera Machine Learning Homework Programming Language: Octave Professor: Andrew Ng
Coursework for Olin's Quantitative Engineering Analysis
This repository contains my codes and solutions for homework, exams, and final project of Digital Image Processing course held at Sharif University of Technology (SUT) by Prof. Mansour Jamzad in Fall 2020.
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