Machine learning model to predict churn of credit card customers. Demonstration of novel XGBoost configuration for noisy, imbalanced data.
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Mar 4, 2021 - Jupyter Notebook
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tomek-link-elimination
Here are 6 public repositories matching this topic...
Credit Card Fraud Detection using Python and Machine Learning.
python machine-learning machine-learning-algorithms credit-card seaborn artificial-intelligence pca logistic-regression matplotlib decision-trees support-vector-machines creditcard oversampling matplotlib-pyplot stratified-cross-validation quantile-transformer smote-sampling random-over-sampling random-under-sampling tomek-link-elimination
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Jan 2, 2022 - Jupyter Notebook
Prática de Árvore de Decisão
python graphviz machine-learning counter scikit-learn pandas collections matplotlib decision-tree-classifier imblearn accuracy-score under-sampling train-test-split tomek-link-elimination
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Feb 4, 2023 - Jupyter Notebook
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
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Jan 26, 2024 - Jupyter Notebook
6th Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Model Tuning (GridSearchCV & RandomizedSearchCV)
xgboost logistic-regression adaboost decision-tree smote gradient-boosting boosting bagging random-forest-classifier gridsearchcv imblearn randomizedsearchcv makepiplines tomek-link-elimination
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Jul 23, 2021 - HTML
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
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Aug 17, 2024 - Jupyter Notebook
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