Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

Here is a small collection of how to use MATLAB to solve Machine Learning challenges

Apply and evaluate some basic machine learning algorithms on breast cancer prediction.

Evaluation of machine learning algorithms on hyperspectral images of forests.

Trabalho prático da disciplina de Reconhecimento de padrões que consiste na implementação do algoritmo KNN para classificar sinais de áudio e de ECG.

Decision Trees by Pattern Recognition, classification on a dataset of breast cancer

Used survey data with personality traits to predict cannabis consumption.

A MATLAB project that solves CAPTCHA images using an Image pre-processing pipeline and Decision Trees.

Cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated17.9 million lives each year, which accounts for 31. Heart failure is a common event caused by CVDs and this dataset contains 12 features that can be used to predict mortality by heart failure. Most cardiovascular diseases can be prevented by addressing b…

Implementation of Adaboost with decision stump classifiers.

Classification and Regression Trees-based Arrhythmia Predictor for early and remote diagnosis.

Machine Learning Projects

Implementation of decision tree from scratch

The goal of this project is predicting the survival of passengers based on a set of data. Necessary data is retrieved from Kaggle competition "Titanic: Machine Learning from Disaster".

ASL Sign Recongition using SVM, Decision Trees and Neural Networks

Matlab implementation of the ID3 algorithm for classification