NTI-Final-Assignment Use flask(python) and shiny dashboard (R) to build simple user interface to see how choosing classification model may affect prediction accuracy, using Customer Churn Dataset.
I tried to handle imbalanced classes in dataset using OverSampling technique (SMOTE Algorithm, RandomOverSampler) from imbalanced-learn API
- Logistic Regression.
- KNN.
- SVM.
- Random forest.
- Decision Tree.
- Naive Bayes.