This repository contains projects from Andrew NG's Machine Learning course at Coursera
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Updated
Jan 17, 2017 - MATLAB
This repository contains projects from Andrew NG's Machine Learning course at Coursera
In this repository I uploaded some scripts that I used to do my bachelor's degree thesis work. Here you can found some functions, the workspaces in which the best ANN configurations are saved, some statistical analysis and the final model.
Implementation of Supervised and Unsupervised algorithms
Fairness accountable regression in Matlab
Machine Learning Algorithms implemented in Matlab
Stanford's Machine Learning MOOC from Coursera
Examples of linear regression and reduction of other models to linear models using matlab.
Multivariate Temporal Response Function
a explanation model to predict the residual life of milling cutter
Vectorized form of Linear Regression.
In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.
Explore machine learning tools such as linear and polynomial regression.
Thesis project concerning the development of predictive regression models for the estimation of cetacean abundance in the Gulf of Taranto using climatic and morphological variables.
An online course on ML taught by Andrew Ng. Introduces algorithms from scratch including regression models, classification, Neural Networks, SVMs, K-Means clustering, and applications such as Photo OCR.
Swarm based neural network for regression
MATLAB and data science course, taking you from MATDRAB to MATFAB in 8 weeks! General course covering the basics of MATLAB, Signal processing, Statistics, and Machine Learning
Code I developed and modified as a part of the Stanford ML course on Coursera.
Codes des TPs de l'UV de Machine Learning de l'EINA
A simple project for the development of kinetic models for the heterogenous reaction of glycolysis of PET-pc.
The method of generalized least squares is studied in the context of mathematical models, linear and non-linear, that arise in experimental sciences, especially in Geodesy and related sciences.
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