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xgboost-classification

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Jspano95 / Retail-Customer-Classification-Modelling

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Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

feature-engineering decision-tree-classifier support-vector-classifier voting-classifier logistic-regression-algorithm random-forest-classifier customer-segmentation knearest-neighbor-classification classification-models consumer-insights xgboost-classification
  • Updated May 4, 2021
  • Jupyter Notebook

lezippo / PredictStudentsDropoutAndAcademicSuccess

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Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

exploratory-data-analysis cross-validation data-visualization feature-selection pca classification dimensionality-reduction grid-search tuning-parameters tsne model-evaluation knn-classification model-interpretation feature-importance exploratory-data-visualizations decision-tree-classification random-forest-classification xgboost-classification
  • Updated May 10, 2024
  • Jupyter Notebook

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