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DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options.
Features
- Versatile Data Handling: Load data from CSV, XLS, and XLSX files.
- Flexible Data Export: Save your data in CSV or Excel formats.
- Choose correlation method (Pearson, Spearman, Kendall).
- Four different dataset pre-processing methods.
- Intuitive GUI: Navigate the application without any hassle.
Project Samples
License
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