via the browser: Click on the green button "Code" on the right upper corner in this repo and select "Download Zip" Following the Nipoppy tutorials, the data is used for different steps in the Nipoppy ...

Suppose you have a database from GCAM version *v7.1* named `myDb` in a folder named `dbFolder` and you want to generate a standardized dataset for several scenarios: `scen1`, `scen2` and `scen3`. The ...

In this tutorial, we'll walk through the steps of cleaning and analyzing an e-commerce dataset using Python and the Pandas library. The dataset we'll work with contains sales data from Amazon, and we ...

Let’s explore two traditional tools for data analysis: SQL (Structured Query Language) is the standard language for interacting with relational databases. It's efficient for querying large datasets, ...

Abstract: Well-documented, large and diverse datasets are important to facilitate supervised and transferable deep learning methods for human activity recognition. The past years have seen the machine ...