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"
}
}