GitHub topics: ensemble-machine-learning
Abdelrhman941/ml-complete-guide
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S-Leuthold/horizons
Modular ensemble modeling framework for MIR spectral data and soil covariate prediction
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Dan-Boat/PyESD
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
Language: Python - Size: 68.5 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 54 - Forks: 11

h1st-ai/h1st
Power Tools for AI Engineers With Deadlines
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Rakgnar/Global-AI-Kaggle-Hackathon-2025-Elucidata
This repository offers a deep learning solution for predicting spatial cell-type compositions from histology images, achieving a top 204 rank in the Global AI Kaggle Hackathon 2025. Explore the code and methodologies used to extract and analyze image data effectively. 🐱💻📊
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junchenzhi/Awesome-LLM-Ensemble
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
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SahilBarbade1203/Druggability_Research_Analysis
RnD project Collaboration
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ua-datalab/MLWorkshops
UArizona DataLab Workshops
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xariska3/Apartments-Classification-Regression.github.io
U.S. Apartments Rental Prediction and Classification with ML
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raghavagps/toxinpred3
An improved method for predicting toxicity of the peptides and designing of non-toxic peptides
Language: Python - Size: 9.65 MB - Last synced at: 29 days ago - Pushed at: 11 months ago - Stars: 13 - Forks: 2

hatvalues/pychirps
Software for CHIRPS, Ada-WHIPS and gbt-HIPS
Language: Python - Size: 462 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

HWHapply/VID
Virus Infection Detector
Language: Python - Size: 701 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Wb-az/ML-airbnb-paris-analytics-and-price-prediction
Airbnb Paris - analytics and accommodation price prediction
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FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting.
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dkanungo/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
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dineshkumarc9102/Dineshkumar_Parkinson-s_Disease_Prediction
Parkinson's Disease Prediction using Machine Learning with a web-based interface built with React, Flask, and Node.js for real-time predictions and user history tracking.
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Dhrumi45/GSA
Gujarati Sentiment Analysis
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action-ai-institute/MABEL-dataset
MABEL: Malware Analysis Benchmark for Artificial Intelligence and Machine Learning
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Saeednikdel/Multiple-Kernel-Learning-Algorithms
Implementation of the paper Multiple Kernel Learning Algorithms
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razamehar/Naples-Diaper-Market-Geo-Analytics-for-Potential-Estimation
Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective
Language: Python - Size: 3.86 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

deveshsangwan/Skin-lesions-classification
This repo includes classifier trained to distinct 7 type of skin lesions
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ZhiningLiu1998/mesa
[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
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farzanmrz/ml-stockmovement-prediction
📈 Stock Movement Study 🚀 Time-series forecasting of S&P500 trends using machine learning models and ensembling techniques, highlighting interpretable approaches in financial prediction.
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kafisatz/DecisionTrees.jl
Julia Decision Tree Algorithms for Regression
Language: Julia - Size: 80.2 MB - Last synced at: 13 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

sivkri/NLP-LLM-TextMining_GeneSearch
Text Mining (PubMed Search) with NLP & LLM
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basverkennis/Flight-Sim-Cognitive-Workload-EEG-Prediction
Predicting Workload in Virtual Flight Simulations using EEG Spectral and Connectivity Features
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aashish22bansal/Skin-Cancer-Detection-using-Transfer-Learning-and-Ensemble-Modelling
Original Repository: https://github.com/aashish22bansal/ITE1015-Soft-Computing-Project-Skin-Cancer-Detection
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SaeidRostami/Customer_Churn
Customer churn analysis for a telecommunication company
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desh2608/dover-lap
Python package for combining diarization system outputs.
Language: Python - Size: 1.01 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 87 - Forks: 12

minakdr/Car-price-prediction-using-Stacking-ensemble-modeling-technique
This project aims to predict the selling prices of used cars based on various features such as brand, model year, mileage, and engine specifications.using-Stacking-ensemble-modeling-technique
Language: R - Size: 412 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

vanlalpeka/ADESS
Anomaly Detection Using an Ensemble with Simple Sub-models
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ramanks19/AIML-Projects
Projects which were completed as part of assignments of Great Learning's PGP in Artificial Intelligence and Machine Learning
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ashishpatel26/Most-used-ML-Packages
Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding
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SravanTummalapalli/Machine_Learning_Cheat_notes
Machine Learning Cheat Notes
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Gabya06/nlp_genres
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IPVS-AS/pusion
Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.
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emilyng-sz/singlife_fa_recommendation
Machine learning solution to recommend 10 out of 8000 agents to new clients with 33% success rate
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invcble/Alzheimer-s-Classification-using-OASIS-Dataset
Machine Learning models for Alzheimer’s Classification
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wahyudesu/Marketing-Spend-Optimization-using-Machine-Learning
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pngo1997/Recurrent-Neural-Network-Time-Series-Classification
Applies deep learning for time series classification using the LSST (Large Synoptic Survey Telescope) dataset.
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mcarocortes/Ensemble_Models
Comparación de modelos de Bagging y Boosting para predecir Item_Outlet_Sales, evaluando su rendimiento con MSE.
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letsdoitbycode/DoshaMitra
This project explores the fusion of Ayurveda and machine learning to classify human Prakriti (body constitution) types into Vata, Pitta, and Kapha. The project performed excellent to Random Forest-based ensemble model to achieve high accuracy, providing a scientific method for personalized health insights based on Ayurveda.
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DominikKukla/Ensemble-learning-for-hackathon Fork of DzmitryPihulski/Ensemble-learning-for-hackathon
The repository shows the winning pipeline for a hackathon. Models were trained and ensembled.
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DzmitryPihulski/Ensemble-learning-for-hackathon
The repository shows the winning pipeline for a hackathon. Models were trained and ensembled.
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nafiul-araf/BFND-System
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
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AnnaAnastasy/Mental-Health-EDA-ML
A data-driven project analyzing factors influencing mental health and building a predictive model for depression using advanced machine learning techniques.
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fatimaAfzaal/Multiple-Ensemble-models-Diabetes-Prediction-Project-
This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.
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Peteresis/PALAB---Online-Shoppers-Behavior
Data analysis of online shoppers to determine which factors are more important when deciding whether or not to purchase.
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AnnaAnastasy/Dibetes-Prediction-Logistic-KNN-Cat
Predicting diabetes using machine learning techniques. Starting with Logistic Regression as a baseline, it progresses to advanced models like Gradient Boosting.
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AaronWard/PU-learning-example
An example repo for how PU Bagging and TSA works.
Language: Python - Size: 97.7 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 15

XinaiLU/Incremental-Image-Classification----Fine-Tuning-of-Super-Class-Learning
Kaggle Competition for the final of Machine Learning, URL: https://www.kaggle.com/competitions/superclass-learning. The model to be adapted is professor's thesis code ~ Adapting to the new competition setting
Language: Python - Size: 126 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

junayed-hasan/LLM-Aggregated-Ensemble-Clinical-Outcomes
Implementation of a novel method using aggregated ensembles of large language models to analyze long clinical texts. Addresses input length limitations and data source diversity in clinical outcome prediction. Includes experiments on mortality prediction and length of stay estimation using MIMIC-III data.
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LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
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papermath/Machine_Learning
A short repository for my machine learning skills on real datasets
Language: Python - Size: 8.74 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nataliabeltranarg/DeepLearning-Medical-Predictions
Utilizing predictive models (NN,Ensembles,KNN & SVM) to predict patient length of stay or mortality in the ICU.
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AbhishekKumarRoy/Machine-Learning
Collection of Machine Learning techniques for self learning
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leogachimu/Tanzania_Water_Wells_Classification
This is a project for a building a model that can classify the situation of water wells across the Republic of Tanzania.
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SiddiquiZainab/Heart-Disease-Prediction
This project aims to predict heart disease using machine learning models and ensemble methods. The goal is to build a model that can accurately predict the presence of heart disease based on various medical attributes. Evaluations are done using the Cleveland dataset.
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siam29/Credit-Card-Fraud-Detection-in-Real-Time
This project delivers a fast and efficient fraud detection methodology, providing predictions in under a second, emphasizing the importance of both high performance and quick response times.
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Saba-Gul/Corona-Tweet-Sentiment-Classification
This project aims to classify the sentiment of tweets related to the coronavirus pandemic.
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mlr-org/mlr3ensemble
mlr3 extension package for ensemble machine learning
Language: R - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

ArchismwanChatterjee/Football-Match-Prediction
Football Match Predictor for top leagues
Language: Python - Size: 3.07 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1

jElhamm/Model-Ensembles-Bagging-In-Machine-Learning
"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."
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Godhuli-De/LungCancerPrediction_ModelComparison
This project focuses on the prediction of lung cancer using multiple machine learning models and comparing their performances. The dataset used for this project consists of various features related to lung cancer, which were preprocessed, normalized, and then used for training different classifiers.
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Ayushmanas/people-based-modelling
One of the important steps towards People based marketing which is essential for targeting audience
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tasoslio/Machine-Learning
Machine Learning Assignment(Auth Spring Semester 2023)
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shcheklein/ensemble-dvc-template
Skeleton for DVC pipeline to evaluate multiple models together
Language: Python - Size: 37.1 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

stdereka/ded-ood
[IEEE ICIP 2024] Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Language: Python - Size: 712 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

KanikaGaikwad/Detect-AI-Generated-Text-
This project addresses the challenges of AI-generated content, such as misinformation and bias, by developing a machine-learning algorithm that distinguishes between AI-generated and human-generated texts. This solution enhances content authenticity and mitigates associated risks.
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Kritika97Gaikwad/AI-Generated-Text-Detection
Developed a machine learning model using scikit-learn, implementing ensemble techniques, PCA, correlation analysis, and extensive feature engineering. The goal was to classify documents as either human-generated (0) or AI-generated (1) based on document embeddings, word count, and punctuation.
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manjit-baishya-datascience/Pakistan-House-Price-EDA
This project has effectively analyzed house price trends and prediction using machine learning, emphasizing data cleaning, exploratory analysis, and regression modeling to gain insights into dataset patterns and structures.
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JZhou3083/SouthernWater_Riverflow_Forcasting
This is a toy project to predict the flow of River Test using gauged data from Environment Agency and National River Archive.
Language: Python - Size: 64.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

farazkhancodes/Predictive-Modelling-of-Multimodal-Single-Cell-Genomic-Data-with-Machine-Learning-Algorithms
This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell
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SreecharanV/Improving-CIFAR-10-Image-Classification-with-Diverse-Architectures-Using-Ensemble-Learning
This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.
Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

officialarijit/RPWE
Reward Penalty Weighted Ensemble approach for multimodal data stream classification
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LinggarM/Ensemble-Learning-Comparison-on-Diabetes-Classification
Comparison of ensemble learning methods on diabetes disease classification with various datasets
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Harshraj1301/NCAA-Crossroads-Classic-Analytics-Challenge
Predicted consumer activity type for the NCAA Women’s Basketball Tournament
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Jecoc907/Options-Pricing-with-ML-models
Our goal in this project was to develop statistical and machine learning models to replicate the functionality of the traditional Black-Scholes option pricing formula, specifically for valuing European call options.
Language: Jupyter Notebook - Size: 996 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Chris96bal/ML_Classification
Spotify Classification Problem 2023
Language: Jupyter Notebook - Size: 740 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yevIbrahimov/gen_ensemble
This project implements functions for building an ensemble of classifiers and regressors using the TPOT and auto-sklearn libraries with the help of a genetic algorithm evolved using the deap library.
Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SamSamhuns/covid_19_hate_speech
Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

AnoopKunju/HeartDiseaseApi
Created an Application powered by an Ensemble ML model for classification to detect Heart disease in an individual in future
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veronikavinnichenko/Spam-ham-binary-classification
Выполняется бинарная классификация для текстовых данных сообщений о спаме/неспаме. Оценка моделей выполняется на основе метрики roc-auc
Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SusmitSekharBhakta/Stock-market-price-prediction
A project to forecast Stock market prices most efficiently
Language: Python - Size: 214 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

jb-ds2020/2nd_Project
This is our second project at neuefische DS Bootcamp. Silas Mederer (https://github.com/sls-mdr) and me applied different ML models and for credit default prediction of the P2P platform Lending Club.
Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

akram-mohammed/ECemble
Multi-class enzyme classification using machine learning
Language: Shell - Size: 2.41 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

saireddythfc/code-academy
Intermediate Machine learning course with example projects
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MoinDalvs/Resume_Classification
Business objective- The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention
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SeanAndrie/Kaggle-Playground-Series-Competitions
A series of notebook submissions I've done for the Kaggle Playground Series Competition.
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shinoiwami/a_JYU2017_07
Language: Python - Size: 83 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

omarmhaimdat/xgboost_student_performance
Introduction to XGBoost with an Implementation in an iOS Application
Language: Swift - Size: 1.5 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 1

rofe-dl/emotion-recognition-ensemble-learning
Emotion recognition from Speech & Text using different heterogeneous ensemble learning methods
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pm390/recsys2022
Code repo of solution of 11th place in Recsys Challenge 2022
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Cintia0528/Data_Science-Supervised_Machine_Learning_Regression
Predict home prices using regression, optimizing for R2 and RMSE metrics to create a robust model with minimal prediction deviation.
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IvanVigor/Local-Fusion-Dynamic-Weighted-Ensemble
This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.
Language: Python - Size: 131 KB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 8 - Forks: 0

gkunapuli/ensemble-methods-notebooks
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
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itsekiri-tatashe/ensemble-dementia-predictor
An application that allows users to predict the risk of a patient having dementia based from their MRI Scan and other medical data using Three Ensemble machine learning methods
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mentaries/EnsembleNetwork
This project, predict the types of penguins by looking at the factors given from the dataset. After looking at some of these characteristics, the dataset is divided into training data and the test data will predict in the test data according to the characteristics given, then the possible type or species of penguins
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ankitakotadiya/Machine-Learning
Machine Learning & Deep Learning Algorithms
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motiurinfo/sentiment_classification
Performance evaluation of sentiment classification on movie reviews
Language: Python - Size: 20.9 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 0
