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Fitur utama dari kode ini:

Mendeteksi anomali transaksi menggunakan model Isolation Forest

Memprediksi tren keuangan menggunakan model Long Short-Term Memory (LSTM)

Memberikan rekomendasi strategi transaksi berdasarkan analisis data

  1. Memuat Data Transaksi

Menghasilkan data transaksi dengan jumlah acak untuk mensimulasikan perilaku pengguna.

  1. Deteksi Anomali Transaksi dengan Isolation Forest

Model ini mendeteksi transaksi mencurigakan berdasarkan pola outlier.

  1. Prediksi Tren Keuangan dengan LSTM

Model LSTM mempelajari pola saldo dan memprediksi saldo masa depan.

  1. Strategi Optimalisasi Transaksi

Memberikan rekomendasi transaksi berdasarkan saldo dan biaya rata-rata.

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Fitur utama dari kode ini:

Mendeteksi anomali transaksi menggunakan model Isolation Forest

Memprediksi tren keuangan menggunakan model Long Short-Term Memory (LSTM)

Memberikan rekomendasi strategi transaksi berdasarkan analisis data


1. Memuat Data Transaksi

Menghasilkan data transaksi dengan jumlah acak untuk mensimulasikan perilaku pengguna.



2. Deteksi Anomali Transaksi dengan Isolation Forest

Model ini mendeteksi transaksi mencurigakan berdasarkan pola outlier.



3. Prediksi Tren Keuangan dengan LSTM

Model LSTM mempelajari pola saldo dan memprediksi saldo masa depan.



4. Strategi Optimalisasi Transaksi

Memberikan rekomendasi transaksi berdasarkan saldo dan biaya rata-rata.
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