his project aims to build and evaluate multiple machine learning models for predicting house prices using the House Prices dataset. The models include Linear Regression, Decision Trees, and Support Vector Machines (SVM), with a focus on model selection, tuning, and comparison.

Este repositório contém uma implementação do algoritmo SVM para classificação de dados nos datasets Iris e Wine, usando a linguagem R com RStudio. Você pode executar o código localmente ou com Docker.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Implements a SVM model for classifying mushrooms if edible or poisonous

Simulation code for "Ordinal Multiple Instance Support Vector Machines"

Project to produce supervised ML algorithm to predict which customers are likely to leave and produce .Rmd report

Personal project & homework using clustering and classification algorithms

Collection of machine learning algoritm written in R. covering various supervised and unsupervised machine learning algorithm. These codes are made as supplement of academic module in our data mining and knowledge management course.

Airline customer satisfaction prediction & analysis

This project is about credit risk measurement for a bank. The project entailed a comprehensive analysis of client default tendencies relative to their backgrounds using advanced classification models, providing actionable insights by model comparison and refinement.

Fraudulent websites detector built with nonparametric models

mini machine learning projects

Machine learning educational projects.

Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.

Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo

Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice

Predicting student grades based on factors present in their everyday lives

A document covering machine learning basics. 🤖📊

Лабораторные работы по предмету "Системы и методы принятия решений"

In this project, I trained an SVM model to classify donors (By making a buy) and to answer the question "How likely would a donor donate the next time?" based on his/her Age and Income.