imblearn-metrics

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alaa-aleryani / Credit_Risk_Classification

We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

numpy sklearn pandas supervised-machine-learning imblearn pathlib sklearn-metrics sklearn-model imblearn-metrics

Updated Jan 22, 2024
Jupyter Notebook

princessEmilyy / ML-project-diabetes-

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Project for applied classical ML course at the Weizmann institute

random-forest scikit-learn ml datascience gan xgboost classification diabetes catboost lgbm imbalanced-classification smote-sampling ctgan imblearn-metrics

Updated May 12, 2024
Python

wongkhoon / Professional-Data-Scientist-in-Python

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Restrictions on sharing as advised by DataCamp

python nlp machine-learning presentation sklearn pandas wordcloud nltk report supervised-learning classification operator beautifulsoup case-study datacamp porterstemmer tfidfvectorizer plotly-graph-objects imblearn-metrics

Updated Jun 16, 2023

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