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OpenICF is an open-source identity connector framework that integrates identity management systems with various resources. It enables secure provisioning, synchronization, and management of user accounts across diverse platforms and applications.
To Predict the Rice quality like good or bad by using different types of machine learning like logistic regression, decision tree, support vector machine classifier, random forest classifier, K-nearest neighbor's classifier, and Gaussian Naïve Bayes classifier are used.
This project demonstrates how to use the PapaParse library to parse CSV data in Node.js using TypeScript and perform various searching and sorting operations on it.