Python XGBoost model, using Amazon SageMaker, EC2 instances and S3 buckets. Used to prepare, partition, train, tune, predict and evaluate model. Project involves predicting customers who sign up for a financial product at a bank.

📈 𝗔𝗻 𝗲𝗻𝘀𝗲𝗺𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗳𝗼𝗿 𝗯𝗮𝗰𝗸𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝘁𝗼𝗰𝗸 𝗽𝗿𝗶𝗰𝗲 𝗰𝗼𝗺𝗯𝗶𝗻𝗶𝗻𝗴 𝗕𝗼𝗹𝗹𝗶𝗻𝗴𝗲𝗿 𝗕𝗮𝗻𝗱𝘀 𝗮𝗻𝗱 𝗟𝗦𝗧𝗠 𝗺𝗼𝗱𝗲𝗹𝘀

Ensemble method merupakan kombinasi model yang memiliki performa lebih baik jika dibandingkan masing-masing model penyusunnya.

Introduction and Implementation of Random Forest Models

Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.