For this analysis, the open source Cell2Cell data prepared by the Teradata center for customer relationship management at Duke University was obtained from Kaggle. Tried to predict and analyzed Customer Loss with classification algorithms. Logistic Regression, Random Forest, KNN, Gaussian Naive Bayes, XGBOOST, Gradient Boost, LightGBM algorithms was used. Data consists of 51,047 samples and 58 features.
numpy
pandas
scikit-learn
matplotlib
seaborn
scipy
missingno
imblearn
collections
lightgbm
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