R package for machine learning classification model evaluation.
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Updated
Oct 28, 2024 - R
R package for machine learning classification model evaluation.
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
Análise e Classificação de Dados Students Performance. (Data Science)
Application of Naive Bayes and Linear Regression Models
Vežbe 6: Naivni Bajes
High performance implementation of the Naive Bayes algorithm in R
R mini project using Data Science and ML model
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.
An r package that implements the naive Bayes classifier
An r-shiny application that allows you to train and export a classification model based on Naive Bayesian
Examples of some popular algorthms for solving problems in maschine learning
The repository contains several Jupyter notebooks, each of which covers a different machine learning project, such as sentiment analysis, image classification, and customer segmentation. You also have code examples and datasets included to help users understand and implement the projects themselves.
Supervised and unsupervised analysis
Imbalanced classification with loan clients dataset.
Web app to estimate car quality based on the car properties informed by the user.
This project focuses on predicting the attrition rate of employees by using different ML algorithms. The dataset is a fictional data taken from Kaggle
Introduction to three machine learning models using the programming language R
Implementation of Naive Bayes algorithm for categorical data
Projects developed under the Data Mining I college chair during the 2019/2020 school year
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