ensemble-methods
There are 30 repositories under ensemble-methods topic.
ZhiningLiu1998/self-paced-ensemble
[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
usgs/pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Curt-Park/handwritten_digit_recognition
Handwritten digit recognition with MNIST & Keras
N00Bception/AI-CryptoTrader
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.
YisongMiao/CS5228-project
Winning 2nd place🥈at NUS CS5228 in-class Kaggle competition 2018!
ChaitanyaC22/Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
FlorinAndrei/timeseries-forecasting-fourier-time-dummies
Time series forecasting with Fourier-adjusted time dummies
agusticonesagago/Evaluation-of-methods-to-combine-predictions-from-ensemble-learning-in-multivariate-forecasting
This project studies different possibilities to make good predictions based on machine learning algorithms, but without requiring great theoretical knowledge from the users. Moreover, a software package that implements the prediction process has been developed. The software is an ensemble method that first predicts a value taking into account different algorithms at the same time, and then it combines their results considering also the previous performance of each algorithm to obtaina final prediction of the value. Moreover, the solution proposed and implemented in this project can also predict according to a concrete objective (e.g., optimize theprediction, or do not exceed the real value) because not every prediction problem is subject to the same constraints. We have experimented and validated the implementation with three different cases. In all of them, a better performance has been obtained in comparison with each of the algorithms involved, reaching improvements of 45 to 95%.
FlorinAndrei/predict-sale-prices-regression
Predict sale prices via regression models, using PCA, k-means clustering, ensemble models, pipelines, etc.
ikanurfitriani/Final-Project3-EnsembleMethod-RF
This repository contains code archives for models that predict the risk of death from heart failure.
LeondraJames/AdClick_Fraud
Capstone project #2 for the Harvard University Professional Certificate in Data Science
wwweiwei/Track2Vec
Official Implementation of Track2Vec: Fairness Music Recommendation with a GPU-Free Customizable-Driven Framework EvalRS-CIKM-2022
Aditya1Jhaveri/Cervical-Cancer-Image-Classification-in-Deep-Learning
This repository hosts the Cervical Cancer Image Classification project, a comprehensive effort aimed at improving the classification accuracy of Squamous Cell Carcinoma (SCC) through advanced deep learning models and ensemble techniques. The project utilizes the Herlev dataset.
LinggarM/Ensemble-Learning-Comparison-on-Diabetes-Classification
Comparison of ensemble learning methods on diabetes disease classification with various datasets
MichaelHager01/Decision-Trees-and-Ensemble-Methods
This is an assignment from my Machine Learning for Mechanical Engineers course that demonstrates an understanding in decision trees and ensemble methods using scikit-learn.
mosyariefali/Loan-Default-Prediction
Build a classification model to predict clients who are likely to default on their loans. Give recommendations to the bank on important features to consider while approving a loan. Concepts Used: Logistic Regression, Decision Trees, Random Forests, and Ensemble Methods
sulis-hpc/sulis-hpc.github.io
User documentation website for the Sulis tier 2 HPC service. Built using Jekyll.
ayigitdogan/BandB-Data-Analysis-Case-Study
My solutions to the data analysis and forecasting case study held by Bella & Bona
BananAlhethlool/Promotions-Prediction-Classification
Predicts the qualified employee for promotion using Classification
Cimm-Yeoman/Divorce-Prediction
The goal of this report was to identify which variable best predicts divorce using decision trees and other ensemble methods. In the data set, Class is the response variable, with 0 = still married and 1 = divorced.
course-files/BBT4206-Lab10of15-EnsembleMethods-R
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Ensemble Methods.
devanshkhare1705/Personalizing-K12-Education
Using deep learning to predict whether students can correctly answer diagnostic questions
nanditashukla/AIML-Projects
Projects completed as a part of IIIT-Delhi's Post Graduation Diploma in Computer Science and Artificial Intelligence.
Otniel113/LungCancerIdentification
Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data. Presented in IC2IE and published to IEEE.
RudraChatterjee/Visa-approval-prediction-EnsembleMethodsML
This project presents a ML based solution using Ensemble methods to predict which visa applications will be approved and thus recommend a suitable profile for applicants whose visa have a high chance of approval
STProgrammer/Ensembled-naive-bayes-classifiers
Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.
thomas-brink/STATS315B_Project
Course project for Stanford's STATS 315B (Modern Applied Statistics: Learning II).
ajayarunachalam/metaEnsembleR
Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated
jasminenalani/JDAY-Stat228-Final
My Final Project for my Introduction to Data Science course at Simmons University.
Parin30/AI-ML-Projects
A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.