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Project ini menggunakan ARIMA dan SARIMA model untuk meramalkan rata-rata harga rumah satu tahun ke depan. Model terbaik dipilih berdasarkan akurasi terbaik atau Mean Absolute Percentage Error (MAP…
In this Project, I use Machine Learning Approach to classify SMS Messages in spam or ham. Where Multinominal Naive Bayes and XGBoost Classifier Model has been used in this Project. And the Best Mod…
Project ini menggunakan Logistic Regression, Random Forest Classifier, dan XGBoost Classifier, kemudian dilakukan juga oversampling dan undersampling menggunakan SMOTE dan Near-miss Algorithm.
Predicting credit card default using Machine Learning approach. Where Adaboost, KNN, and XGboost model with hyperparameter tuning has been used. The Best model based on accuracy score.