Fast and Accurate ML in 3 Lines of Code
-
Updated
Sep 17, 2024 - Python
Fast and Accurate ML in 3 Lines of Code
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Dataset of coral images conditions in Koh Tao, Thailand
This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.
Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"
Machine Learning A Stock Market Analysis and Prediction
This repository contains two comprehensive machine learning projects using scikit-learn, demonstrating ensemble learning with a Voting Classifier and the comparison of linear and polynomial regression models on different datasets.
Python package for stacking (machine learning technique)
This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.
A robust method integrating N-gram encoding and ensemble modeling for enhanced splice site prediction accuracy.
[Me-FoMo ICLR 2023 - Oral] Exploring Demonstration Ensembling for In-context Learning
An ensemble-based machine learning approach for predicting corrected Chlorophyll-a concentrations, trained with real historical data and enhanced by synthetic data generated using agents with LLM, providing a scalable and cost-effective solution for early detection of harmful algal blooms (HABs).
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images published in Nature Scientific Reports
Classification of Sentinel-2 land cover multiband images through an ensamble of DNN
A python implementation of the Multi-View Stacking algorithm
Code for AAAI 2024 Workshop Paper: “Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning”
🏆1st solution in web ad CTR predict competition🏆
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
🫁 Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks
Add a description, image, and links to the ensemble-learning topic page so that developers can more easily learn about it.
To associate your repository with the ensemble-learning topic, visit your repo's landing page and select "manage topics."