Used car price prediction using machine learning with XGBoost based on features like brand, model year, mileage, and more.
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Updated
Oct 1, 2024 - Jupyter Notebook
Used car price prediction using machine learning with XGBoost based on features like brand, model year, mileage, and more.
Practice sessions for the course "Machine Learning and Data Mining" in the Faculty of Mathematics and Informatics, Sofia University.
Combining tree-boosting with Gaussian process and mixed effects models
Python implementation of CART decision trees and ensembles
Using boosting and deep learning in the departure delay problem
Machine Learning University: Decision Trees and Ensemble Methods
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
A collection of boosting algorithms written in Rust 🦀
A machine learning project predicting school dropouts in El Salvador.
Farm your in-game hours on Steam
A curated list of gradient boosting research papers with implementations.
A fraud detection (exploratory) project using machine learning algorithms over 11 million real transactions
Predicting the physical form of polymer samples based on laboratory measurements of the particle and bulk densities of the samples.
The Steel Plates Faults dataset project utilizes machine learning to enhance quality control in steel manufacturing, aiming to develop models for efficient fault detection and classification. This initiative promises to improve productivity and reduce costs, ensuring the delivery of high-quality steel products to meet industry demands.
Project building ML & DL models to detect spam messages.
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
This project leverages data from 383 thyroid cancer patients over 15 years to develop a model to predict propensity for reoccurrence based on certain features. This work extends and further explores different model types to emerge with the best predictor model - and save more lives
"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."
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