Check out my Data Science Portfolio here.
- 📝 In my spare time, I write articles on Medium about Data Science
- 📫 Where to find me:
- Part of an Artificial Intelligence Team
Check out my Data Science Portfolio here.
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…
Jupyter Notebook
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…
Jupyter Notebook
Project ini menggunakan Logistic Regression, Random Forest Classifier, dan XGBoost Classifier, kemudian dilakukan juga oversampling dan undersampling menggunakan SMOTE dan Near-miss Algorithm.
Jupyter Notebook
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.
Jupyter Notebook
Fraud Detection on Bank Payments through Logistic Regression, Random Forest and XGBoost. Best model based on Average Precision Score.
Jupyter Notebook 1