A Multi-Output Regression Framework in Python
-
Updated
Dec 22, 2020 - Python
#
multi-output-regression
Here are 20 public repositories matching this topic...
Deep Learning for Multi-Output Regression using Gradient Boosting
-
Updated
Feb 7, 2024 - Python
Gradient Boosted Neural Network - Multi Output
-
Updated
Jun 16, 2023 - Python
In This Notebook I've Build a Machine Learning Model to predict the relation between users and restaurants, and this model is piece of my graduation project.
-
Updated
Dec 24, 2021 - Jupyter Notebook
Condensed-Gradient Boosting
-
Updated
Jul 24, 2024 - Python
Multi-Output Infinite Horizon Gaussian Process
-
Updated
Apr 11, 2022 - C++
[EUVIP 2021] The official repo for Visual Quality and Security Assessment of Perceptually Encrypted Images based on Multi-Output Deep Neural Network (VSMML)
security encryption deep-learning image-quality scrambling image-quality-assessment multi-output-regression visual-security-assessment perceptual-encryption
-
Updated
Sep 24, 2021 - Jupyter Notebook
Ridge Regression and Random Forest Regression models are build predictive models on the estimation of energy performance of residential buildings.
-
Updated
Apr 27, 2023 - Jupyter Notebook
자율주행 센서의 안테나 성능 예측 AI 경진대회, LG AI Research (2022.08.01 ~ 2022.08.26)
-
Updated
Jun 23, 2024 - Python
Stock Returns Prediction
python machine-learning exploratory-data-analysis regression kaggle kaggle-competiton kaggle-competition stock-price-prediction feature-engineering multi-layer-perceptron principal-component-analysis data-pipeline data-preprocess multi-output-regression random-forest-regressors
-
Updated
Dec 23, 2020 - Jupyter Notebook
Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition
regression emotion eeg affective-computing emotion-recognition valence arousal deap-dataset multi-output-regression ccnn lggnet gameemo
-
Updated
Jun 9, 2024 - Jupyter Notebook
This repository contains the resources our team used through the course of the CLEF competition.
random-forest-regressor bird-clef cnn-classification audio-datasets dense-neural-network multi-output-regression clef-aware
-
Updated
May 27, 2022 - Jupyter Notebook
A personalized finance management tool, use to provide recommendations based on the interests and expenses of the user. Helps in keeping the record of the incomes and expenditures made throughout the year/month.
javascript machine-learning reactjs django-rest-framework random-forest-regression multi-output-regression
-
Updated
Apr 30, 2025 - JavaScript
Automated IELTS scoring pipeline using a Multi-Output Random Forest regressor and TF-IDF vectorization to predict 4 rubric categories simultaneously.
python nlp machine-learning random-forest scikit-learn tfidf automated-essay-scoring ielts-writing multi-output-regression educational-ai
-
Updated
Feb 11, 2026 - Python
A multi-target regression algorithm based on Gaussian process regression
machine-learning regression gaussian-processes gpr gaussian-process-regression multi-output multi-target-regression multi-output-regression
-
Updated
Dec 4, 2023 - R
Multi-output regression problem done for the prediction of truck axle weights.
-
Updated
Oct 30, 2024 - Python
Designed as a training document explaining how to apply the multi-output method in time series forecasting. This means a single model can simultaneously predict multiple future values. more stable results than the recursive method.
data-science machine-learning time-series linear-regression educational-project time-series-prediction educational-purposes synthetic-dataset-generation time-series-forecasting time-series-regression multi-output-regression synthetic-data-generation multi-output-forecasting time-series-learning
-
Updated
Nov 29, 2025 - Jupyter Notebook
A project that examines the relationship between MLB teams' payroll and their success on the field.
-
Updated
Mar 9, 2024 - Jupyter Notebook
Building a multi-input-output CNN to predict airfoil lift coefficients
-
Updated
Jun 2, 2024 - Jupyter Notebook
📈 Forecast multiple future values at once with the Multi-Output Linear Regression model for time series data, enhancing stability and accuracy.
data-science machine-learning time-series linear-regression educational-project time-series-prediction educational-purposes synthetic-dataset-generation time-series-forecasting time-series-regression multi-output-regression synthetic-data-generation multi-output-forecasting time-series-learning
-
Updated
Feb 17, 2026 - JavaScript
Improve this page
Add a description, image, and links to the multi-output-regression topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multi-output-regression topic, visit your repo's landing page and select "manage topics."