Semi-supervised anomaly detection method

Hint assisted reinforcement learning

"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."

This notebook explores fraud detection using various machine learning techniques.

Intrusion Detection in IoT Systems Using Ensemble Machine Learning Techniques

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)

Code for predicting the severity of earthquake impact on buildings through various experiments, utilizing models like Logistic Regression, SVM, XGBoost, Neural Networks, and Random Classifier. It employs Grid Search and Randomized Search for optimal configuration and relies on feature correlations as primary predictors, adjustable with a threshold.

This repo hosts a basic personal project that uses XGBoost to Forecast Energy Consumption.

contains several models that can be used for domain generalization tasks

A series of notebook submissions I've done for the Kaggle Playground Series Competition.

Introduction to tree models with Python

Ensemble Modeling for Mapping burned areas in the Amazon Rainforest from 2001 to 2020

The official implementation of the method in the paper "Few-shot bioacoustic event detection using an event-length adapted ensemble of prototypical networks"

Predictive churn model for subscription services

Ensemble learning em python para classificação de texto em nótícias

The official code for the "System Combination via Quality Estimation for Grammatical Error Correction" paper, published in EMNLP 2023.

Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

This repository contains the code the dataset and the end to end description of Project to find the duplicate question in Quora to make user interaction easy.