The Wayback Machine - https://web.archive.org/web/20220526001449/https://github.com/topics/caret
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155 public repositories
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Work with Semantic Versions in Go
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
A input text view for entering pin code.
Updated
May 15, 2019
Swift
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models
Updated
Feb 15, 2019
TypeScript
Set and get Caret position (contenteditable or TextArea) using Vanilla JavaScript
Updated
May 6, 2022
JavaScript
A custom React hook for grabbing the caret position in a text input.
Updated
Oct 27, 2020
JavaScript
Tailwindcss plugin to color caret in input fields
Updated
Aug 19, 2020
JavaScript
AngularJS directive for caret aware elements
Updated
May 17, 2017
JavaScript
jQuery plugin to manipulate the caret's position in a text box
Updated
Nov 12, 2020
JavaScript
Carrot is a simple string-based esolang whose memory is on a tape of tapes
Updated
May 8, 2018
JavaScript
My Code Repository for Coursera Data Science Specialization by John Hopkins University
Updated
Nov 29, 2021
HTML
Updated
Jul 24, 2020
Jupyter Notebook
Dockerfiles for ML with R - built on top of Rocker
Updated
Dec 17, 2019
Dockerfile
Collections of Tutorials and Demos for Learning Julia in Data Science, Simulation/Modeling, and High Performance Computing
Updated
Feb 24, 2022
Jupyter Notebook
Updated
Jun 15, 2016
Python
Implementations for Feedzai's OpenML APIs to allow for usage of machine learning models in the R programming language.
Updated
Apr 26, 2021
Java
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
Applied Predictive Modeling with caret
Regress using many metalearning packages including caret and TPOT from one script. Also artificial data generator, comparison script and several expiraments. Messy.
Create APIs for the deployment of R models with minimal code
TailwindCSS plugin to color caret in input fields.
Updated
Jun 17, 2021
JavaScript
A quick reference guide for creating prediction models using R caret.
Caret R Models Deployment using SQL databases
Analyzes network traffic and tells whether the query is normal or a type of attack. 3 classifiers are built and tested: Naive Bayes, Decision Trees, Random Forests, Followed by a complete visualization of results
Benchmark existing XGBoost Java libraries
Large-scale digital mapping of soil organic carbon content by using machine learning algorithms
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