Browse Code ▾
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
Other LicenseFollow DataPrep
Other Useful Business Software
Auth0 for AI Agents now in GA
Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DataPrep!
