Predict the net rate of bike renting

An extension of Py-Boost to probabilistic modelling

자율주행 센서의 안테나 성능 예측 AI 경진대회, LG AI Research (2022.08.01 ~ 2022.08.26)

Final Rank - 81 out of 5060

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

A simple parameter reconstruction workflow using well-established machine learning algorithms and neural networks. The workflow is implemented and explained step-by-step in a Jupyter notebook.

A multi-target regression algorithm based on Gaussian process regression

A machine learning library for regression, which implements a new formulation of gradient boosting.

A Multi-Output Regression Framework in Python

Code for paper "Copula-based conformal prediction for Multi-Target Regression"

An extension of XGBoost to probabilistic modelling