These are my go-to libraries for Python data crunching.

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The package rdata offers a lightweight way in Python to import and export R datasets/objects stored in the ".rda" and ".rds" formats. Its main advantages are: @misc{ramos-carreno++_2024_rdata-repo, ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...

Feature Selection in python is the process where you automatically or manually select the features in the dataset that contribute most to your prediction variable or output in which you are interested ...

This repository contains the LyNoS dataset described in "Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding". The dataset has now also ...