Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
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Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
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exploratory-data-analysis
cross-validation
data-visualization
feature-selection
naive-bayes-classifier
xgboost
hyperparameter-optimization
feature-engineering
knn
model-evaluation
model-building
feature-importance
label-encoding
smotetomek
numerical-encoding
ordinal-encoding
correlation-map
imbalanced-dataset
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