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JScience offers essential functionalities for statistical calculations, data normalization, categorical column encoding, and much more.
- statistics
- math
- mathematics
- data normalization
- categorical column encoding
- one-hot encoding
- label encoding
- data transformation
- data preprocessing
- data science
- data analysis
- data cleaning
published version 1.1.0, 23 days ago0 dependents licensed under $MIT
74
A lightweight JavaScript library for essential feature engineering tasks in machine learning. Provides utilities for normalization, standardization, one-hot encoding and missing value handling. Designed for simplicity and performance in both Node.js and b
- feature engineering
- machine learning
- data preprocessing
- normalization
- standardization
- one-hot encoding
- missing values
- data science
- javascript
- scikit-learn
- data transformation
- ml preprocessing
- data cleaning
- data wrangling
- View more
published version 1.0.0, 3 months ago0 dependents licensed under $MIT
11