data-formatter
Formats and cleans your data to get it ready for machine learning!
Formats and cleans your data to get it ready for machine learning!
Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free to tweak the settings if you want a lot of control, or j
Useful tool for piping and detecting phone format - 188 countries + International format
![npm](https://img.shields.io/npm/v/@utils-fns/validators) [![License](https://img.shields.io/github/license/ccqueiroz/utils-fns)](LICENSE) [![Repository](https://img.shields.io/badge/repository-GitHub-blue.svg)](https://github.com/ccqueiroz/utils-fn) ##
![npm](https://img.shields.io/npm/v/@utils-fns/mask) [![License](https://img.shields.io/github/license/ccqueiroz/utils-fns)](LICENSE) [![Repository](https://img.shields.io/badge/repository-GitHub-blue.svg)](https://github.com/ccqueiroz/utils-fn) ## README
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.