Repositório destinado aos projetos realizados na disciplina de Reconhecimento de Padrões (RP) [2023.1] do PPGEEC.

Naive Bayes for Spam Filtering!

This repository consists of the Machine Learning for Robotics laboratory activities: a Naive Bayes classifier, linear regression, kNN classifier and Neural Networks, namely.

First assignment of Machine Learning I, regarding the impelementation of a naive bayes classifier in Matlab

Naive Bayes classifiers work by correlating the use of tokens (typically words, or sometimes other things), with spam and non-spam e-mails and then using Bayes' theorem to calculate a probability that an email is or is not spam

In this project, I have trained ML classification models for Persian LinkedIn posts using MATLAB. I have gathered a dataset including 300 data samples, and tested Naive Bayes/SVM/Tree/ etc training models for prediction. because the low number of data samples and 3 class labels, I have achieved the highest accuracy of 60% via bagged trees model …

Machine Learning algorithms in Matlab

Replicates all results from the paper: Benvenuti et al. 2018. "Scale-Invariant Visual Capabilities Explained by Topographic Representations of Luminance and Texture in Primate V1". Neuron 1–9. doi:10.1016/J.NEURON.2018.10.020

Hybrid Decision Boundary

Breast cancer classification and evaluation of classifiers using k-fold cross-validation

This project involved an interrogation of the SVM and Naive-Bayes algorithms with a marine classification data problem posed by Professor Dr. Amber Stubler. Dr. Stubler’s research is concerned with the marine community ecology of kelp and coral reef ecosystems, honing in specifically on Caribbean coral reef recruitment under different sedimentat…

Wearable Technologies coursework assignment

Image processing with Matlab.

Machine learning script in Matlab to compare Random Forest and Naive Bayes Classifier

Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

Implementation of various machine learning classification techniques: K-means clustering, Naive Bayes with Gaussian distributions etc.

Classifying breast cancer using knn, svm , naive bayes and decision trees on Matlab

LSVT classification algorithm

Machine Learning by Stanford University Taught by Andrew NG.