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
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Updated
Jan 4, 2022 - MATLAB
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
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.
a explanation model to predict the residual life of milling cutter
Fairness accountable regression in Matlab
This repository contains projects from Andrew NG's Machine Learning course at Coursera
A simple project for the development of kinetic models for the heterogenous reaction of glycolysis of PET-pc.
Multivariate Temporal Response Function
Machine Learning Algorithms implemented in Matlab
Swarm based neural network for regression
Examples of linear regression and reduction of other models to linear models using matlab.
In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.
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.
Vectorized form of Linear Regression.
Machine and Reinforcement Learning at Lunds University
Explore machine learning tools such as linear and polynomial regression.
Code I developed and modified as a part of the Stanford ML course on Coursera.
Implementation of Supervised and Unsupervised algorithms
Stanford's Machine Learning MOOC from Coursera
Codes des TPs de l'UV de Machine Learning de l'EINA
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
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