Topic: ensemble-methods Goto Github
Some thing interesting about ensemble-methods
Some thing interesting about ensemble-methods
ensemble-methods,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.
User: aditya1jhaveri
ensemble-methods,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%.
User: agusticonesagago
ensemble-methods,Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated
User: ajayarunachalam
ensemble-methods,My solutions to the data analysis and forecasting case study held by Bella & Bona
User: ayigitdogan
Home Page: https://acute-secure-9b6.notion.site/Data-Analyst-Case-Study-e05862bf4ae24e4e89d9b1acc80c27b6
ensemble-methods,Predicts the qualified employee for promotion using Classification
User: bananalhethlool
ensemble-methods,This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
User: chaitanyac22
ensemble-methods,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.
User: cimm-yeoman
ensemble-methods,Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Ensemble Methods.
User: course-files
Home Page: https://elearning.strathmore.edu/course/view.php?id=6599
ensemble-methods,Handwritten digit recognition with MNIST & Keras
User: curt-park
ensemble-methods,Using deep learning to predict whether students can correctly answer diagnostic questions
User: devanshkhare1705
ensemble-methods,Predict sale prices via regression models, using PCA, k-means clustering, ensemble models, pipelines, etc.
User: florinandrei
Home Page: https://florinandrei.github.io/predict-sale-prices-regression/
ensemble-methods,Time series forecasting with Fourier-adjusted time dummies
User: florinandrei
ensemble-methods,This repository contains code archives for models that predict the risk of death from heart failure.
User: ikanurfitriani
ensemble-methods,My Final Project for my Introduction to Data Science course at Simmons University.
User: jasminenalani
ensemble-methods,Capstone project #2 for the Harvard University Professional Certificate in Data Science
User: leondrajames
ensemble-methods,Comparison of ensemble learning methods on diabetes disease classification with various datasets
User: linggarm
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.
User: michaelhager01
ensemble-methods,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
User: mosyariefali
ensemble-methods,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.
User: n00bception
ensemble-methods,Projects completed as a part of IIIT-Delhi's Post Graduation Diploma in Computer Science and Artificial Intelligence.
User: nanditashukla
ensemble-methods,Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data. Presented in IC2IE and published to IEEE.
User: otniel113
Home Page: https://ieeexplore.ieee.org/document/9970035
ensemble-methods,A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.
User: parin30
ensemble-methods,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
User: rudrachatterjee
ensemble-methods,Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.
User: stprogrammer
ensemble-methods,User documentation website for the Sulis tier 2 HPC service. Built using Jekyll.
Organization: sulis-hpc
Home Page: https://sulis-hpc.github.io
ensemble-methods,Course project for Stanford's STATS 315B (Modern Applied Statistics: Learning II).
User: thomas-brink
ensemble-methods,tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Organization: usgs
ensemble-methods,Official Implementation of Track2Vec: Fairness Music Recommendation with a GPU-Free Customizable-Driven Framework EvalRS-CIKM-2022
User: wwweiwei
ensemble-methods,Winning 2nd place🥈at NUS CS5228 in-class Kaggle competition 2018!
User: yisongmiao
Home Page: https://kaggle.com/c/cs5228-article-category-prediction
ensemble-methods,[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
User: zhiningliu1998
Home Page: https://arxiv.org/abs/1909.03500v3
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