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Santander Bank Customer Satisfaction Prediction: A Complete Machine Learning Practice from Data Cleaning to Model Optimization

Explore classic Kaggle competition projects, learn how to use algorithms like logistic regression, random forests, and gradient boosting to predict customer dissatisfaction, and master practical skills in feature engineering and model evaluation.

机器学习客户满意度预测Kaggle逻辑回归随机森林梯度提升特征工程ROC-AUC
Published 2026-05-01 06:14Recent activity 2026-05-01 06:16Estimated read 1 min
Santander Bank Customer Satisfaction Prediction: A Complete Machine Learning Practice from Data Cleaning to Model Optimization
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Section 01

导读 / 主楼:Santander Bank Customer Satisfaction Prediction: A Complete Machine Learning Practice from Data Cleaning to Model Optimization

Introduction / Main Floor: Santander Bank Customer Satisfaction Prediction: A Complete Machine Learning Practice from Data Cleaning to Model Optimization

Explore classic Kaggle competition projects, learn how to use algorithms like logistic regression, random forests, and gradient boosting to predict customer dissatisfaction, and master practical skills in feature engineering and model evaluation.