Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. - facebook/prophet ...

Techniques such as time shift, frequency disturbance, and frequency shift are utilized to generate diverse datasets, thereby enriching the training data and enhancing model generalization. Furthermore ...

To address challenges in Software Defect Prediction (SDP), we conducted a thorough bibliographic survey of 79 research articles from the year 2011 to 2023 that examined previous models, datasets, data ...

Background/ Objective Global navigation satellite systems (GNSS) and local positioning systems (LPS) are to date common tools to measure external training load in athletes. The aim of this scoping ...

End-to-end SQL project analyzing Walmart sales data using PostgreSQL. Includes data cleaning with Python(pandas), business insights, and advanced SQL queries to solve real-world retail problems ...