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datamagic-ml

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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

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{ "name": "datamagic-ml", "version": "1.0.0", "main": "src/index.js", "scripts": { "test": "jest" }, "keywords": [ "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", "ai", "artificial intelligence", "data pipeline", "data normalization", "data standardization" ], "author": "Oshith Roshantha", "license": "MIT", "repository": { "type": "git", "url": "https://github.com/OshithRoshantha/datamagic-ml" }, "homepage": "https://github.com/OshithRoshantha/datamagic-ml#readme", "description": "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 browser environments.", "devDependencies": { "jest": "^29.7.0" } }