Automated Data Preprocessing Library
Project description
Ndata
Ndata is a Python library for automating common data preprocessing tasks, such as missing value imputation, feature scaling, categorical encoding, and outlier detection.
Features
- Handle Missing Values: Automatically fill missing values using strategies like mean, median, or a constant.
- Scale Numerical Features: Standardize or normalize your data.
- Encode Categorical Variables: Easily convert categorical features into numerical form.
- Detect and Remove Outliers: Use Z-score or IQR methods to handle outliers.
Installation
You can install Ndata from PyPI:
pip install ndata
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