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.
License
Other LicenseFollow DataPrep
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DataPrep!