R-Shiny Demo app using GPT-3.5 to land your dream job.

My blog created with Quarto

My Blog about tree-based methods:

Benchmarking datasets for regression based on OpenML

openxlsx - a fast way to read and write complex xslx files

Airflow tutorial for running R scripts

A GUI for laying out a Shiny application that generates clean and human-readable UI code

mlr3: Machine Learning in R - next generation

Automatic tuning of random forests

Automated testing for shiny apps

Install Puppy Linux in a few clicks.

An opinionated view of the Tidyverse "dialect" of the R language.

Easy interactive dashboards for R

scikit-learn compatible Python bindings for ranger C++ random forest library

Book about interpretable machine learning

DuckDB is an analytical in-process SQL database management system

Distance correlation and related E-statistics in Python

scikit-learn: machine learning in Python

A topic-centric list of HQ open datasets.

Getting an optimal set of defaults for common machine learning algorithms

Ordinal Regression for mlr3

Resources related to NLP

Estimate Permutation p-Values for Random Forest Importance Metrics

Automatic machine learning package with tuning tailored to the algorithms and runtime specification

❗ This is a read-only mirror of the CRAN R package repository. liquidSVM — A Fast and Versatile SVM Package. Homepage: https://github.com/liquidSVM/liquidSVM

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an …

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries