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Memprediksi skor kredit untuk calon peminjam di Home Credit menggunakan supervised Machine Learning Model (Logistic Regression dan Decisien Tree). Bahasa pemrograman data science yang digunakan adalah Python. Berdasarkan proses data science diperoleh model terbaik adalah Logistic Rgresion dengan acuuracy dan evaluasi metrik kurang lebih 60%.
Memprediksi pengunjung sebuah toko belanja online apakah akan melakukan transaksi pembelian atau tidak menggunakan model Supervised Machine Learning. Dataset yang digunakan adalah Online Shopper Purchasing Intention yang diperoleh dari www.kaggle.com. VAriabel target nya adalah Revenue yang berisi True (Membeli) dan False (Tidak beli)
The purpose of this project is to analyze the characteristics of digital users regarding sales. This type of analysis is to create a visualization in the form of a company sales dashboard from data consisting of several tables. The tool used for visualization is Looker Studio. After creating the dashboard, we will provide recommendations
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