Autonomous Vehicle modelling using MATLAB and Simulink
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Updated
May 10, 2023 - MATLAB
Autonomous Vehicle modelling using MATLAB and Simulink
A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.
Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.
Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)
Andrew Ng Machine Learning Course Coursera
Machine learning code: linear regression and logistic regression
Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.
All my codes from 'Machine Learning' course by Andrew Ng offered by Coursera
With OCTAVE - details in ex2.pdf in the repo.
Handwritten Digit Recognition - Neural Network - minimizing the cost function (Backpropagation) ---- OCTAVE ----- the exercise details are in ex4.pdf in the repo.
Machine_Learning_Stanford_Ng
stanford university
Machine Learning from Coursera: https://www.coursera.org/learn/machine-learning/home/welcome
Machine Learning Using MATLAB
Exercises submitted in the course Machine Learning by Andrew NG - Stanford University.
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