The aim of this project is to create customer personas according to features and define segments according to a determined rule.
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Updated
Mar 27, 2021 - Python
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customer-personas
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Using a Kaggle dataset, customer personality was analysed on the basis of their spending habits, income, education, and family size. K-Means, XGBoost, and SHAP Analysis were performed.
python
machine-learning
xgboost
kmeans
kmeans-clustering
xgboost-algorithm
xgboost-model
kmeans-clustering-algorithm
shapley-additive-explanations
customer-personas
shap-analysis
customer-personality-analysis
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Updated
Nov 4, 2021 - Jupyter Notebook
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