Data cleaning | npm.io

Formats and cleans your data to get it ready for machine learning!

neural network machine learning data formatting normalization min-max normalization min max normalizing brain.js automated machine learning bestBrain data science

1.7.3 • Published 9 years ago

Library to use Woyera Data Cleaning

data cleaning customer data email validation address cleaning geocode name format company name

1.0.3 • Published 6 years ago

Purity Ring sanitizes usernames by intelligently splitting concatenated strings, substituting numbers and special characters for their alphabetic equivalents, and checking the results against a customizable blacklist to ensure appropriateness.

username usernames sanitization string splitting leet speak leet character mapping blacklist profanity data cleaning

1.0.1 • Published 10 months ago

A validation package for frontend and backend apps with custom rules, messages, and multilingual support.

front-end guardzilla validator validation javascript frontend backend data cleaning input validation custom rules

0.0.2 • Published 5 months ago

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

1.0.0 • Published 5 months ago

This is a simple package that provides a CSV parsing and validation utility. It uses the Papaparse library for parsing CSV data and supports optional validation using the Yup schema validation library.

CSV parsing CSV validation data validation CSV utility Papaparse Yup validation data processing data manipulation data quality schema validation

1.0.1 • Published 2 years ago

Data cleaning Packages

data-formatter

woyera

purity-ring

guardzilla

datamagic-ml

csv-parse-htt