In this video, the Scikit-learn Python library is used to implement and evaluate machine learning models for language identification. The library provides efficient implementations of algorithms such as K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Multi-Layer Perceptron (MLP), which are used to train and test the models. Scikit-learn is also used for data splitting, model training, and accuracy evaluation, making it a convenient tool for developing and comparing different machine learning approaches for language classification.
Github: https://github.com/cdd369/CPSC5440/tree/main/assignment_1
