ensamble-methods

There are 0 repository under ensamble-methods topic.

yuchenlin / LLM-Blender
[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
ensamble-methods large-language-models llm natural-language-processing
Language:Python 806
Mashael2030 / Diabetes-Health-Indicators-Classfication
Comparison of classifier Algorithms on Diabetes Health Indicators Dataset.
machine-learning random-forest confusion-matrix decision-trees-algorithm knn-classification-algorithm classification prediction ensamble-methods acuuracy python sklearn pandas numpay
Language:Jupyter Notebook 4
giulio-derasmo / Ship-Classification-Leonardo-Labs-Kaggle-Competition
Neural Networks ensemble via majority voting in order to classify ships given non-satellite images. All the models have been trained using PyTorch with pretrained weights.
ensamble-methods kaggle-competition neural-network pytorch resnet vision-transformer xception
Language:Jupyter Notebook 3
SarangGami / TED-Talks-Views-Prediction-Supervised-learning
This project aims to build a regression model that predicts the number of views for TED Talks videos on the TED website.
baggingalgorithms boosting-algorithms data-cleaning data-wrangling eda ensamble-methods feature-engineering feature-selection machine-learning ml-algortihms multicollinearity regression-models supervised-learning ted-talks views-prediction
Language:Jupyter Notebook 2
eshan-kaul / ML_Capstone
Ensamble Voting for Financial Time Series
ensamble-methods financial-data gradientboostingregressor kneighborsregressor orthogonal-matching-persuit plsr random-forest-regressor sgd-regression svr time-series ada-boost-regressor arima lstm-neural-networks ridge-regression python
Language:Jupyter Notebook 1
kaledhoshme123 / Predict-age-of-patient-based-on-the-X-Ray-images
create a model capable of predicting the patient's age group through chest X-rays.
age age-prediction age-predictor chexnet computer-vision deep-learning ensamble-methods keras keras-tensorflow python tensorflow x-ray x-ray-images
Language:Jupyter Notebook 1
Kr1s1m / AI_Random_Forest
Random Forest library university project
artificial-intelligence random-forest decision-trees decision-tree-classifier ensamble-methods
Language:C++ 1
michstg / HousePricePrediction-selectfeature
Regression-PrediksiHargaRumahBoston-kaggle-ensamblemodel-supervisedlearning
boston-housing-price-prediction decision-tree-regression ensamble-methods lasso-regression linear-models machine-learning python regression regression-models ridge-regression
Language:Jupyter Notebook 1
NoufAlsaeed / Classification-Project-T5
Comparison of classifier Algorithms on bank marketing Dataset
machine-learning knn-classification random-forest ensamble-methods voting-classifier stacking xgboost boost naive-bayes-classifier decision-trees confusion-matrix
Language:Jupyter Notebook 1
veronikavinnichenko / Real-Estate-Agent
Price prediction and appartments recommendation
ensamble-methods ml price-prediction r recommender-system shiny-apps
Language:HTML 1
Yahya-Ashraf-Mohamed / Finding-Donors-ML
Predicting potential donors using various machine learning models for Charity
data-analysis ensamble-methods machine-learning model-tuning python sklearn
Language:Jupyter Notebook 1
albertoparenti / Machine-Learning-Project
Applied numerous algorithm models to solve a binary classification problem of predicting if any given prospective customer converts to a sale, through the company’s online sales channel.
ensamble-methods machine-learning predictive-modeling adaboost-classifier binaryclassification decision-tree-classifier extra-trees-classifier knn-classification logistic-regression naive-bayes-classifier neural-networks random-forest-classifier support-vector-machine voting-method stacking-method
Language:Jupyter Notebook 0
beatabb / Kernel_Based_Machine_Learning-course
Project for Kernel-Based Machine Learning and Multivariate Modelling course at UPC Barcelona (FIB)
svm svm-classifier kernel-methods kernelsvm machine-learning machinelearning ensamble-methods kdd99
Language:Jupyter Notebook 0
MOoTawaty / Finding-Donors-for-CharityML
finding_donors machine learning model
data-cleaning dicision-tree ensamble-methods ensemble-learning machine-learning numpy pandas random-forest sklearn-library svm
Language:HTML 0
sls-mdr / nf2-ml-default-loans
This is our second project at neuefische DS Bootcamp. Silas Mederer and me implied different ML models and documented the EDA and our business understanding of the Lending Club.
eda ml data-science-portfolio data-science regression credit-risk random-forest desiciontree adaboost xgboost ensamble-methods neuefische-ds-bootcamp kaggle loan
Language:Jupyter Notebook 0
akthersr / Credit_Risk_Analysis
In this analysis we build and evaluate several machine learning algorithms by resampling models to predict credit risk.
ensamble-methods machine-learning resampling-methods
Language:Jupyter Notebook
ebbeberge / stroke-prediction
We analyze a stroke dataset and formulate advanced statistical models for predicting whether a person has had a stroke based on measurable predictors.
stroke neural-networks ensamble-methods explainable-ai
Language:Jupyter Notebook
Marko19907 / ML-assignments
Machine Learning assignments, Machine Learning (IE500618) course, fall 2022.
cifar100 confusion-matrix distributed-machine-learning ensamble-methods jyputer-notebook machine-learning mnist-dataset multilayer-perceptron-network mushroom-classification python resnet-50 transfer-learning
Language:Jupyter Notebook
N34R20 / Machine_Learning_Concepts_and_Algortihms
this repo is about the core machine learning algorithms built in core python and explained trough comments
ensamble-methods knn-classifier linear-regression logistic-regression machine-learning naive-bayes-classifier pca svm-classifier
Language:Python
StrawhatRA / Risky_Business
Credit Risk Analysis utilizing imbalanced classification machine learning models
cluster-centroids-undersampling data-science ensamble-methods logistic-regression machine-learning python random-forest resampling risk-analysis scikit-learn
Language:Jupyter Notebook
t0re199 / MADL_PROJECT
Application of Machine and Deep Learning techniques on images and texts.
anomaly-detection classification deep-learning ensamble-methods image-classification image-processing keras machine-learning matplotlib nlp-machine-learning numpy pandas python tensorflow
Language:Python
UBC-MDS / 525-group23
This repository is used for DSCI 525 - Web and Cloud Computing course project
rainfall-prediction ensamble-methods download-da preprocess-dataset
Language:HTML

ensamble-methods

yuchenlin / LLM-Blender

Mashael2030 / Diabetes-Health-Indicators-Classfication

giulio-derasmo / Ship-Classification-Leonardo-Labs-Kaggle-Competition

SarangGami / TED-Talks-Views-Prediction-Supervised-learning

eshan-kaul / ML_Capstone

kaledhoshme123 / Predict-age-of-patient-based-on-the-X-Ray-images

Kr1s1m / AI_Random_Forest

michstg / HousePricePrediction-selectfeature

NoufAlsaeed / Classification-Project-T5

veronikavinnichenko / Real-Estate-Agent

Yahya-Ashraf-Mohamed / Finding-Donors-ML

albertoparenti / Machine-Learning-Project

beatabb / Kernel_Based_Machine_Learning-course

MOoTawaty / Finding-Donors-for-CharityML

sls-mdr / nf2-ml-default-loans

akthersr / Credit_Risk_Analysis

ebbeberge / stroke-prediction

Marko19907 / ML-assignments

N34R20 / Machine_Learning_Concepts_and_Algortihms

StrawhatRA / Risky_Business

t0re199 / MADL_PROJECT

UBC-MDS / 525-group23