Van NguyenUsing multivariate LSTM Forecast ModelFirst of all, need to prepare the dataset for the LSTM8 min read·Dec 7, 2020--2--2
Van NguyenUsing LSTM Multivariate and Univariate in order to predict stock market.Use case: Stock markets can be highly volatile and generally difficult to predict. The prediction model developed in this post only serves…6 min read·Dec 4, 2020--1--1
Van NguyenDetect anomalies beats.An electrocardiogram (ECG or EKG) is a test that checks how your heart is functioning by measuring the electrical activity of the heart…5 min read·Nov 26, 2020----
Van NguyenBuild an LSTM Autoencoder, train it on a set of normal heartbeats and classify example normal or…Nov 22, 2020----
Van NguyenUsing Telecom Data, Device Data to build credit scoring ( To Lend For Personal Loan, Installments…)A variety of indicators from the telecom industry are used as an input feature to predict customer attrition. Big Data Scoring is a…5 min read·Oct 13, 2020--2--2
Van NguyenPredict customers leaving in the telecommunications industry ( Part 2 )Recall that we used lightgbm for the classification problem because the features are arranged as tabular data. However, such a treatment…5 min read·Oct 10, 2020----
Van NguyenPredict customers leaving in the telecommunications industry ( Part 1)Being able to predict whether or not customers will continue using the service is very important for any organization. If it is possible…6 min read·Oct 10, 2020----