Topic: model-comparison Goto Github
Some thing interesting about model-comparison
Some thing interesting about model-comparison
model-comparison,"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab
User: aanzel
Home Page: https://github.com/AAnzel/Model-Comparison-Polar-Diagrams
model-comparison,Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
User: aaronflore
model-comparison,A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sense. (Python)
User: advaitsave
model-comparison,Decision Tree and Random Forest model were used to train and test the data . Classification report and confusion matrix were used to evaluate the model
User: agujral
model-comparison,ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection(EuroVis 22)
User: alicelh
Home Page: https://modelwise.onrender.com/
model-comparison,Cyberbullying Detection App specifically designed for the Hinglish language, which is a combination of Hindi and English. The application utilizes various machine learning and deep learning algorithms fine-tuned for natural language processing and classification tasks.
User: amiruzzaman1
Home Page: https://amiruzzaman-cbhindi.hf.space/#cyberbullying-detection-app-hinglish
model-comparison,This project involves a classification task using various machine learning algorithms on a heart disease dataset. The dataset comprises features related to heart health, with the target variable indicating the presence or absence of heart disease.
User: amiruzzaman1
Home Page: https://colab.research.google.com/drive/1vqZn2c6lVRSmnM3DlFF8hDpbIEdlAsSp?usp=sharing
model-comparison,This project pioneers advancements in Natural Language Processing (NLP) by introducing a deep neural network approach to address challenges in interpreting multi-word sentences, detecting idioms, and classifying text. Focusing on text classification, it evaluates various models, with BERT outperforming others with an F1 score of 0.7980.
User: amiruzzaman1
Home Page: https://colab.research.google.com/drive/1L5YNwjAW66fxhDUFK45fH796QUF9jyxo?usp=sharing
model-comparison,Regression model on Taxi Fare Data with EDA. The data is taken from a Hackathon ( Data Science Student Championship 2023 ) on MachineHack.
User: ashx010
model-comparison,Classification model on Titanic: Tragic shipwreck with EDA. Secured Accuracy Score of ~0.78.
User: ashx010
model-comparison,This project develops a predictive model and a decision support system for evaluating the risk associated with Home Equity Line of Credit (HELOC) applications. It features an interactive interface for financial institutions, integrating multiple models for transparent and effective decision-making.
User: augustusvash
model-comparison,
Organization: banana-day
model-comparison,R package for focused information criteria for model comparison
User: chjackson
model-comparison,Repositorio para el curso intersemestral "Temas Selectos en Estadística" para la Facultad de Psicología, UNAM.
User: christian-f-badillo
model-comparison,Repository for my Master's thesis comparing volatility models.
User: davidmpinho
model-comparison,The inference code for our Nature paper about globular clusters in M31/Andromeda.
User: eggplantbren
model-comparison,A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
Organization: emilianogagliardiemanueleghelfi
model-comparison,We investigated the performance of the K Nearest neighbours and the Decision Tree machine learning models. We compared them based on their classification accuracy on the UCI Hepatitis and Diabetic Retinopathy datasets.
User: enzo2806
model-comparison,We investigated the performance of the Logistic and Multiclass Regression models and compared their accuracies to KNN. We compared Logistic Regression and KNN based on the "IMdB reviews" dataset, while Multiclass Regression and KNN were compared based on the "20 news groups" dataset.
User: enzo2806
model-comparison,We implemented a Multi-Layer Perceptron (MLP) model from scratch and compared its performance based on image classification accuracy on the "Fashion-MNIST" dataset to the performance of the Tensorflow Keras library's Convolutional Neural Network (CNN).
User: enzo2806
model-comparison,The methods used in this thesis study consisted of Least Absolute Selection Operator (Lasso), Ridge, LightGBM, and XGBoost, Multiple linear regression, Ridge regression, LightGBM, XGBoost. With the use of a variety of regression methods it's being able to predict the sale price of the house. In addition, this model also helps identify which characteristics of housing were most strongly associated with price and could explain most of the price variation. Furthermore, I was able to improve models’ prediction accuracy by ensembling StackedRegressor, XGBoost and LightGBM.
User: genius98
model-comparison,A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
User: gershonc
model-comparison,Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
Organization: glubbdubdrib
Home Page: https://pypi.org/project/lazygrid/
model-comparison,Expand broom::tidy() output for categorical parameter estimates
User: guyabel
Home Page: https://guyabel.github.io/tidycat/
model-comparison,Regression problem predicting Boston house prices in RStudio
User: jlbrosnahan
model-comparison,Using models to understand relationships and make predictions.
User: m-clark
model-comparison,Brute Force Architecture Search
User: m-pektas
model-comparison,
User: mainkoon81
model-comparison,Over the past months, we have seen a significant racial justice reckoning happening across the country since the killing of George Floyd by a police officer in May 2020. This incident sparked a redirection of attention to similar lives that had been lost at the hands of officers, leading to calls for re-evaluation of the role and power that police hold. In order for stakeholders like activism groups and local policymakers to make the most change in the quickest and most effective manner in response to these calls, the data code and report strived to answer a questions that will enable this. The primary tool used was R, with ggplot and machine learning packages.
User: malikamohan01
model-comparison,Matlab command-line functions for supporting Simulink model comparison
Organization: mcscert
model-comparison,Searching for galaxy-assembly bias in the SDSS data
User: mjvakili
model-comparison,DRAB (differential regulation analysis by bootstrapping) is a method for identifying genes with context-specific patterns of local genetic regulation.
User: mykmal
model-comparison,Explaining microbial scaling laws using Bayesian inference
User: nicolazomer
model-comparison,Awesome Collaborated Project of Master's Program Analysis with Ranjith Kumar Govindarajan.
User: rohitlearner
Home Page: https://www.kaggle.com/granjithkumar/dream-masters-program-analysis
model-comparison,Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
User: sanaelotfi
model-comparison,This repository contains my diabetes classification model comparison project using Python
User: seuwenfei
model-comparison,This repository contains my online payment fraud detection project using Python
User: seuwenfei
model-comparison,I used this notebook to discuss different supervised learning approaches. In the notebook you can find evaluations of a logistic regression, a K-Nearest-Neighboor, a Support Vector Machine, a Decision Tree and the ensemble methods Random Forest, AdaBoost and XGBoost Classifyer.
User: sls-mdr
model-comparison,
User: songhuahu-umd
model-comparison,loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Organization: stan-dev
Home Page: https://mc-stan.org/loo
model-comparison,A Python library for amortized Bayesian workflows using generative neural networks.
User: stefanradev93
Home Page: https://bayesflow.org/
model-comparison,This is the repo for a python package that does model comparison between different regression models.
Organization: ubc-mds
model-comparison,Learn about Feature Engineering and get familiar with Advanced regression techniques like Lasso, ElasticNet, Gradient Boosting, etc.
User: vjgpt
Home Page: https://www.kaggle.com/vjgupta/reach-top-10-with-simple-model-on-housing-prices
model-comparison,MADYS: isochronal parameter determination for young stellar and substellar objects
User: vsquicciarini
model-comparison,NeurIPS 2018. Linear-time model comparison tests.
User: wittawatj
model-comparison,Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models
User: wknoben
model-comparison,D-probabilities of parametric models using nonparametric model reference
User: xylimeng
model-comparison,This project includes a python script that creates graphs by reading data from CSV files of models trained with YOLO.
User: yusufesatt
model-comparison,Explanation and Game – Play Capabilities of Modern AI and Large Language Models Project
User: zerksismistry
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