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imbalanced

Here are 11 public repositories matching this topic...

frucci / 2017

2017 repository

python nlp machine-learning tutorial deep-learning clustering tsne w2v imbalanced

Updated Nov 14, 2017
Jupyter Notebook

DasariJayanth / Imbalanced-Semi-or-Self-Supervised-Learning

Implementation of semi and self supervised learning on Imbalanced Dataset

imagenet svhn cifar cifar10 cifar100 imbalanced research-paper-implementation semisupervised-learning selfsupervised ldam imbalaced-datasets yuzhe-yang zhi-xu ldam-loss

Updated Jul 5, 2023
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abhirup-ghosh / medical-appointment-no-shows

LightGBM no-show predictor + AWS deployment (EC2 + Elastic Beanstalk)

docker flask classification lightgbm aws-ec2 imbalanced medical-data aws-elas

Updated Nov 18, 2023
Jupyter Notebook

SahilChachra / Handling-Imbalanced-Dataset

Quick notebook to refer to different ways to handle imbalanced datasets.

machine-learning basics imbalanced

Updated Oct 14, 2020
Jupyter Notebook

damitkwr / KivaExpiry

We use the widely available Kiva Dataset to predict if a Kiva Loan posting will get funded or not

machine-learning kiva smote imbalanced

Updated May 11, 2018
Jupyter Notebook

phalonneNana / Novel-regularization-method-for-class-imbalanced-data-with-fat-tails-An-Application-for-credit-card

This python code is an individual work and also my thesis work which contains a loss function with penalty to solve the problem of imbalanced classes and also the simple ANN to detect if a transaction is fraudulent or not in the case of credit card fraud. So with this algorithm, we can easily detect fraudulent transaction with a good precision .

data card prediction in credit fraud imbalanced

Updated Nov 7, 2023
Jupyter Notebook

Kamal-Eldin / Logistics_transshipment

Predicting vessel transshipment (discharge) amounts using XGBoost regression trees on a very small dataset.

regression prediction xgboost predictive-modeling logistics imbalanced-data imbalanced-learning imbalanced transshipment

Updated Nov 18, 2022
Jupyter Notebook

otrenav / ad-click-predictions-with-imbalanced-data

Basic POC to showcase how to sample data for an imbalanced ad-clicks predictive model.

machine-learning predictive imbalanced model-engineering

Updated Nov 26, 2020
Python

ian-cokehyeng / Imbalanced_Classification

Classification on an imbalanced dataset, evaluating several model-resampling method combinations with hyperparameter tuning.

Updated Jun 22, 2024
Jupyter Notebook

aFdezHilario / C4.5-Binarization-SMOTE

Implementation of C4.5 + Binarization (OVO / OVA) with/without SMOTE preprocessing. This way, multi-class imbalanced problems can be addressed

classification preprocessing smote binarization multiclass-classification imbalanced

Updated May 2, 2017
Java

20rashmi128 / Predicting-Credit-Card-Defaults

Predicting credit card defaults (Classification)

logistic-regression defaults supervised svm-classifier credit imbalanced xgboost-classifier randomforestclassifier

Updated Jun 28, 2022
Jupyter Notebook

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