The main of step in use case that include:


Use case: Stock markets can be highly volatile and generally difficult to predict. The prediction model developed in this post only serves to illustrate a use case for Time Series models. That should assume which is a simple neural network as fully mapping the complexity of price development.

Multivariate vs Univariate Time Series.

Basically, time…


An electrocardiogram (ECG or EKG) is a test that checks how your heart is functioning by measuring the electrical activity of the heart. With each heart beat, an electrical impulse (or wave) travels through your heart. This wave causes the muscle to squeeze and pump blood from the heart.

An…


What is Detectron2 ?


A variety of indicators from the telecom industry are used as an input feature to predict customer attrition. Big Data Scoring is a cloud-based telecom data decision engine that helps banks and consumer lenders improve credit quality and acceptance rates through the use of big data.

Sampling techniques have been…


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Recall that we used lightgbm for the classification problem because the features are arranged as tabular data. However, such a treatment causes the model to treat features with consecutive time series as independent variables.

Let’s use RNN to see if this method is more effective in this post. Since the…


Being able to predict whether or not customers will continue using the service is very important for any organization. If it is possible to anticipate early failure of the customer to continue using the service, the organization can come up with options for customer retention.

But let’s not think about…


One of the most effective and simple ways to do this is through web scraping. I have personally found web scraping a very helpful technique to gather data from multiple websites. …

Van Nguyen

A mind that is stretched by a new experience can never go back to its over dimensions

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