🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲
-
Updated
Dec 3, 2023 - R
🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲
Predict respiratory patient mortality in ICU units using the MIMIC III database
Define, build, and evaluate machine learning models for real-world applications
Use regression tree to predict firearm death rate with firearm law & CDC firearm death rate data.
Nations Flags Classification & Clustering project. 🎏
Web application using machine learning algorithms to predict whether an NBA team will cover the spread.
Analytics Vidya practice dataset for loan prediction
Decision tree classifier to predict the right classes of the observations in the 'Iris' data set.
This project about the fitting a classification tree to the housing data sing R package rapart.
R & Python Projects
An implementation of of the CART-ANOVA algorithm for regression trees in Python
My approach and solution
Analyze performances of Pokemon using R.
Custom implementation of Random Forest based on rpart library.
an analysis was conducted on the Wine Data to discern the factors that play a pivotal role in determining the quality of wine. An exploration of the correlations between these attributes and the overall wine quality was undertaken, while considering the interplay with other relevant factors
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.
Add a description, image, and links to the rpart topic page so that developers can more easily learn about it.
To associate your repository with the rpart topic, visit your repo's landing page and select "manage topics."