oversampling-technique

Here are 40 public repositories matching this topic...

Sadik90 / GAN-ML

Generative based data augmentation for ACPs

data machine-learning deep-neural-networks machine generative-adversarial-network research-project data-augmentation-strategies peptides augmentation peptide-prediction anticancer oversampling-technique varational-autoencoder generative-ai

Updated Aug 30, 2024
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TiagoNonohay / Imbalanced_Data-Na-ve_Bayes-

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This project simulates a M.L system tha aproves or not loans to determinate bank. Working with imbalanced database some resources can be apllied for mitigate erros and prevent money loss.

data-science machine-learning data-visualization naive-bayes-algorithm imbalanced-data smote-sampling oversampling-technique undersampling-technique tomek-link-elimination

Updated Aug 17, 2024
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phiyodr / multilabel-oversampling

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Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). 🌻

upsampling imbalanced-data oversampling imbalanced-classification oversampling-technique oversampling-algorithms

Updated Jun 2, 2024
Python

tatianacarcamoreula / Modelo_ML_abandono_de_clientes

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Predecir el abandono de futuros clientes

python data-science machine-learning sklearn jupyter-notebook supervised-learning predictive-modeling prediction-model classification-algorithm oversampling machine-learning-models classification-model colab-notebook customer-churn-prediction oversampling-technique abandono-de-clientes

Updated May 10, 2024
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vicaaa12 / advanced-machine-learning

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Advanced Machine Learning

exploratory-data-analysis ensemble-learning outlier-detection confusion-matrix data-preprocessing hyperparameter-tuning model-comparison correlation-matrix feature-importance gradientboostinclassifier xgboost-classifier randomforest-classification missing-value-imputation randomsearchcv adaboost-classifier oversampling-technique undersampling-technique bagging-classifier model-performance-comparison

Updated Feb 23, 2024
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yujansaya / kaggle_fraud_detection

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Credit Card Fraud Detection

neural-network linear-regression xgboost convolutional-neural-networks imbalanced-data feature-scaling undersampling catboost smote-sampling oversampling-technique tomek-link-elimination

Updated Jan 26, 2024
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ClJuRo / Classification-of-Good-Loans-and-Bad-Loans-using-ML-algorithms

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Predictive Modeling of Credit Risk Faced by a P2P lending platform

machine-learning random-forest logistic-regression decision-trees bagging-ensemble oversampling-technique undersampling-technique

Updated Jan 5, 2024
Jupyter Notebook

Demon-2-Angel / Cereberal-Stroke-Analysis

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Cerebral stroke, a critical condition, demands vigilant analysis. Machine learning models, coupled with resampling techniques like SMOTEENN, enhance stroke prediction accuracy by addressing imbalanced datasets.

machine-learning-algorithms cerebral oversampling-technique undersampling-technique brain-stroke-analysis-and-classification

Updated Dec 11, 2023
Jupyter Notebook

zonaj2 / credit-risk-classification

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An assessment of logistic regression model performance in predicting customer loan worthiness using loan size, interest rate, borrower income, debt-to-income ratio, number of credit accounts, derogatory marks, and total debt as predictive factors.

machine-learning logistic-regression oversampling-technique

Updated Nov 9, 2023
Jupyter Notebook

MatteoM95 / Default-of-Credit-Card-Clients-Dataset-Analisys

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Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

machine-learning exploratory-data-analysis pca-analysis logistic-regression decision-trees svm-classifier smote oversampling undersampling random-forest-classifier gridsearchcv uci-dataset oversampling-technique

Updated Oct 27, 2023
HTML

AfonsoPaula / Apis-Melifera-Honeybee

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Prediction of occurrences of a bee species in the Iberian Peninsula 🐝

numpy machine-learning-algorithms pandas dataset oversampling-technique undersampling-technique

Updated Oct 3, 2023
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AI-14 / lumpy-skin-disease-classification

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Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.

python machine-learning sklearn imbalanced-dataset smote-sampling oversampling-technique undersampling-technique

Updated Aug 29, 2023
Jupyter Notebook

gabrielecola / Imbalance_classification_problem

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bsc-thesis cost-sensitive-classification oversampling-technique undersampling-technique

Updated Aug 21, 2023
TeX

TheThugnomist / BankFraud

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Building a machine learning model to check bank frauds

machine-learning deep-learning tensorflow scikit-learn keras oversampling-technique undersampling-technique

Updated Jul 23, 2023
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coderjolly / credit-risk-modelling

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The aim of the project is to create a robust machine learning model that predicts the likelihood for a bank's customers to fail on their credit payments for the next month. The dataset used contains information on 24028 customers across 26 variables that includes information regarding whether customer defaulted, credit limits, bill history etc.

visualization machine-learning decision-tree-classifier oversampling-technique undersampling-technique pandas-processing

Updated Jun 5, 2023
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yourssincerely / eurovision

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This project provides a comprehensive analysis of the Eurovision Song Contest, with insights derived from both traditional statistical methods and machine learning techniques.