KhaledTofailieh/Reactions-Regression

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mrapp-ke/MLRL-Boomer

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

Language: C++ - Size: 383 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

akhileshthite/planetary-albedo

A deep multi-objective regression model that can predict the chemical composition of Mercury & Moon.

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subh888999/calories_nutritions_predictions

A machine learning-based Streamlit app that predicts daily calorie needs and provides a personalized macronutrient and hydration plan based on user lifestyle inputs.

Language: Python - Size: 1.07 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

rahmaha/ship_fuel_co2

MLOPSZoomcamp Final Project 2025

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eAranda1979/calories_nutritions_predictions

Personalized nutrition and caloric recommendations using machine learning. Optimize your diet for weight loss, muscle gain, or maintenance. 🌟🍽️

Language: Python - Size: 861 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

andrea-dagostino/kaggle_english_prof_prediction

Repo containing my solution to the English Language Learning competition on Kaggle

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kiranfranklin999/Multi_output_regression

This repo is tutorial for exploring various algorithms for Multi-output prediction in ML and DL using a regressor data and understanding them how mathematically they work.

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LeonardoSaccotelli/Crystal-Structures-Parameters-Prediction-with-Multi-Output-Regression-Neural-Network

Preliminary investigation of machine learning techniques to perform parameters estimation for different crystal structure: hexagonal, monoclinic, orthorhombic, tetragonal, triclinic, trigonal.

Language: Jupyter Notebook - Size: 4.89 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0