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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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