This project about the fitting a classification tree to the housing data sing R package rapart.
-
Updated
Oct 9, 2021 - R
This project about the fitting a classification tree to the housing data sing R package rapart.
Decision tree classifier to predict the right classes of the observations in the 'Iris' data set.
Fitness tracking typically focuses on the regularity of exercise rather than how well it is performed. The goal of this project was to predict the manner in which subjects performed barbell lifts using accelerometer data collected from belt, forearm, arm, and dumbbell sensors.
Trabajo Práctico de la materia Laboratorio de Datos sobre un Modelo de Regresión para predecir viajes diarios en EcoBici y un Clasificador de noticias reales y falsas de un dataset
This repository contains all the R code used in my dissertation project at the University of Manchester, 2025 (MATH6000S). Note that the regression tree code also contains the gradient boosting code, the EDA code contains the code for the plots seen in section 4.1, and the heights code is used in section 1.1.
This repository houses small projects (R and Python) exploring Machine Learning methods and algorithm description & implementation. Larger ML projects are housed in the Projects Repo.
Random Forest, Decision tree and Logistic Regression
Add a description, image, and links to the rpartplot topic page so that developers can more easily learn about it.
To associate your repository with the rpartplot topic, visit your repo's landing page and select "manage topics."