Using Random undersampling, Tomeklinks, Random oversampling, SMOTE, SMOTE+Tomeklinks and ADASYN from inbuilt imbalanced learn library and found how many records added or discarded.
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Oct 21, 2024 - Jupyter Notebook
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smote-tomek
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Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet
travel geospatial-data spatial-data lime oversampling undersampling random-forest-classifier explainable-ai knn-algorithm spatial-autocorrelation shap optuna weight-matrix tabnet xgboost-classifier moran-i train-validation-test mode-choice smote-tomek
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May 20, 2024 - Jupyter Notebook
Credit card transactions fraud detection using classic algorithms
model-selection feature-engineering roc-curve fraud-detection association-analysis imbalanced-learning correlation-analysis credit-card-fraud-detection auc-roc-curve smote-tomek
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Jan 18, 2024 - Jupyter Notebook
RTA severity predictor is an application which predicts the severity of road traffic accident, so as to pave the way for improving the safety level of road traffic.
heroku machine-learning python3 streamlit xgboost-classifier grid-search-cv smote-tomek cramer-v-test
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May 30, 2022 - Jupyter Notebook
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