Using multivariate LSTM Forecast ModelFirst of all, need to prepare the dataset for the LSTMDec 7, 20202Dec 7, 20202
Using 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…Dec 4, 20201Dec 4, 20201
Detect 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…Nov 26, 2020Nov 26, 2020
Build an LSTM Autoencoder, train it on a set of normal heartbeats and classify example normal or…Nov 22, 2020Nov 22, 2020
Using 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…Oct 13, 20202Oct 13, 20202
Predict 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…Oct 10, 2020Oct 10, 2020
Predict 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…Oct 10, 2020Oct 10, 2020
